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171 results on '"Lab-STICC_ENSTAB_CACS_COM"'

1. Distributed algorithm under cooperative or competitive priority users in cognitive networks

Author

ALMASRI, Mahmoud, Mansour, Ali, Moy, Christophe, Assoum, Ammar, Osswald, Christophe, Le Jeune, Denis, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Faculté des Sciences, Université Libanaise, Lab-STICC_ENSTAB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Département STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Département STIC [Brest] (STIC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Centre National de la Recherche Scientifique (CNRS), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
Cooperative or competitive priority access, Multi-armed bandit algorithms, Upper bound of regret, lcsh:TK5101-6720, Cognitive radio, lcsh:Electronics, lcsh:TK7800-8360, Opportunistic spectrum access, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, lcsh:Telecommunication
Abstract

International audience; Opportunistic spectrum access (OSA) problem in cognitive radio (CR) networks allows a secondary (unlicensed) user (SU) to access a vacant channel allocated to a primary (licensed) user (PU). By finding the availability of the best channel, i.e., the channel that has the highest availability probability, a SU can increase its transmission time and rate. To maximize the transmission opportunities of a SU, various learning algorithms are suggested: Thompson sampling (TS), upper confidence bound (UCB), ε-greedy, etc. In our study, we propose a modified UCB version called AUCB (Arctan-UCB) that can achieve a logarithmic regret similar to TS or UCB while further reducing the total regret, defined as the reward loss resulting from the selection of non-optimal channels. To evaluate AUCB’s performance for the multi-user case, we propose a novel uncooperative policy for a priority access where the kth user should access the kth best channel. This manuscript theoretically establishes the upper bound on the sum regret of AUCB under the single or multi-user cases. The users thus may, after finite time slots, converge to their dedicated channels. It also focuses on the Quality of Service AUCB (QoS-AUCB) using the proposed policy for the priority access. Our simulations corroborate AUCB’s performance compared to TS or UCB.

Published
2020
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2. Fusion of Swath Bathymetric Data: Application to AUV Rapid Environment Assessment

Author

Christophe Vrignaud, Ali Mansour, Ridha Fezzani, Benoit Zerr, Michel Legris, Lab-STICC_ENSTAB_CID_PRASYS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_ENSTAB_CACS_COM, Ministère des armées, Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
010504 meteorology & atmospheric sciences, Computer science, Real-time computing, Sonar, Ocean Engineering, 02 engineering and technology, 01 natural sciences, Software, Echo sounding, Sonar navigation, 0202 electrical engineering, electronic engineering, information engineering, Nadir, Bathymetry, 14. Life underwater, Electrical and Electronic Engineering, Acoustic beams, 0105 earth and related environmental sciences, Sensor fusion, Ground truth, business.industry, Mechanical Engineering, Uncertainty, Raised-relief map, Reliability, 020201 artificial intelligence & image processing, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Building an accurate and large digital terrain model (DTM) of the seabed is a key issue in various applications, especially for covert rapid environment assessment using autonomous underwater vehicles (AUVs). New AUV generations are capable of acquiring bathymetry with multiple acoustic sensors: single-beam echosounder, Doppler velocity log, multibeam echosounder (MBES), interferometric sidescan sonar (ISSS), etc. As these sensors acquire the seabed with different geometries, they can be combined to produce a DTM in shorter time. For example, ISSS can reach a wide swath in shallow water but it shows an information gap at nadir, which is usually covered by completing an additional track. Simultaneously using the MBES to acquire the nadir removes the need for this additional track and reduces the energy consumption of the whole survey. This paper focuses on fusion algorithms to extract best information of the two sensors (MBES and ISSS) to feed DTM production software with optimal bathymetric information. This problem may be solved by taking into account the average information of the two sensors. However, the sensors do not always give accurate information and the average information therefore becomes biased. Another way to tackle the problem is to select a priori information given by the better of the two sensors based on a given geometric parameter (e.g., grazing angle). In this case, when the assumed best sensor fails, the information produced by the second sensor cannot be used to compensate for the erroneous information. Our approach consists in using all the available information and fuses it ahead of producing the DTM. Based on the theory of belief functions, this paper presents a framework to fuse the information coming from the two swath bathymetric sensors (MBES and ISSS). The belief theory, applied successfully to other fields, has been extended to handle the bathymetric information. The reliability and the uncertainty of each sonar are introduced in the fusion process to improve the estimation and the accuracy of the final terrain model. First, simulated sonar data, with perfectly known ground truth, are used to quantitatively assess the performance of the fusion process by comparing DTM obtained with and without fusion. Then, the experimental validation is conducted on actual data, acquired simultaneously by the two sonars systems (Klein K5000 ISSS, Reson 8125 MBES) mounted on the DAURADE AUV. Our evaluation of the fusion method shows significant quantitative and qualitative improvement in the production of the final DTM.

Published
2019
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3. Sensing-based Self-Reconfigurable Decision-Making Mechanism for Autonomous Modular Robotic System

Author

Benoit Clement, Abbass Nasser, Olivier Reynet, Hassan Harb, Aliah Majed, Université Antonine (UA), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_ENSTAB_CID_IHSEV, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CID_PRASYS, Pôle STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), and Lab-STICC_ENSTAB_CID_TOMS

Subjects
business.industry, Computer science, Controller (computing), Real-time computing, Process (computing), Control reconfiguration, 020206 networking & telecommunications, Robotics, 02 engineering and technology, Kinematics, Modular design, Fuzzy logic, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Variable (computer science), Control theory, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, business, Instrumentation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

Nowadays, robotic technology finds its way quickly across industries affecting business and people lives. In addition, the rapid growth in communication technologies leads to a new generation of robotics called as Modular Robotic System (MRS). Basically, MRS is autonomous kinematic machine with variable morphology, structure, and functionality. The detectors represent the eyes of the MRS that collect data about different environments and states, while the controller forms the brain of the MRS that must analyze the collected data and take decision about the suitable reconfiguration morphology. However, the huge number of data sensed by the detectors provides two main challenges for MRS; first, it overloads the limited storage of the MRS and, second, it complicates the self-reconfiguration decision required to change its shape according to the monitored environment. In this paper, we propose a sensing-based processing mechanism for data storage and decision making in modular robotic systems. Our mechanism consists of two phases: data storage reduction and self-reconfiguration. The first phase uses aggregation process in order to eliminate redundant data collected thus, reduce the amount of data need to be stored in MRS. The second phase uses the fuzzy logic model and allows MRS to be self-reconfigurable by taking the right decision about the desired shape. The efficiency of our mechanism is demonstrated based on real data simulation while important results have been obtained in terms of data storage and self-reconfiguration decision.

Published
2020
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4. New challenges in wireless and free space optical communications

Author

Raed Mesleh, Ali Mansour, Mohamed Abaza, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Electrical Depart., University of Tabuk, and German Jordanian University

Subjects
Spectrum sensing, Computer science, Emerging technologies, Wireless Communication, Optical communication, 02 engineering and technology, Spatial diversity, 01 natural sciences, 010309 optics, Free space optical communication systems, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Electronic warfare, Electrical and Electronic Engineering, Dynamic spectrum access, Higher order statistics, business.industry, Dynamic Transmission Channel, Mechanical Engineering, Millimeter wave communications, Software Defined Radio, 020206 networking & telecommunications, Free space, Software-defined radio, Cognitive Radio, Antenna diversity, Atomic and Molecular Physics, and Optics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Electronic, Optical and Magnetic Materials, Cognitive radio, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, business, Telecommunications, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; This manuscript presents a survey on new challenges in wireless communication systems and discusses recent approaches to address some recently raised problems by the wireless community. At first a historical background is briefly introduced. Challenges based on modern and real life applications are then described. Up to date research fields to solve limitations of existing systems and emerging new technologies are discussed. Theoretical and experimental results based on several research projects or studies are briefly provided. Essential, basic and many self references are cited. Future researcher axes are briefly introduced.

Published
2017
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5. A Wideband Spectrum Sensing Approach for Cognitive Radios Based on Cepstral Analysis

Author

Ali Mansour, Azza Moawad, Roland Gautier, Koffi-Clement Yao, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_UBO_CACS_COM, Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)

Subjects
Computer Networks and Communications, Computer science, Detector, 020206 networking & telecommunications, 02 engineering and technology, lcsh:HE1-9990, Edge detection, lcsh:Telecommunication, Wavelet, Cognitive radio, lcsh:TK5101-6720, Baseband autocepstrum detector, 0202 electrical engineering, electronic engineering, information engineering, Baseband, 020201 artificial intelligence & image processing, Detection theory, cognitive radio, Wideband, lcsh:Transportation and communications, Passband, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, wideband spectrum sensing, ComputingMilieux_MISCELLANEOUS, differential log spectral density
Abstract

Multiband spectrum access plays an essential role in cognitive radio systems so as to increase the network’s throughput through wideband spectrum sensing. It includes identifying the number of subbands comprising a wide spectrum by edge detection, and also examining their occupancy through primary user detection techniques. Despite the offered accuracy of the wavelet-based approaches, their complexity becomes a drawback. Remarkably, the features revealing property of cepstral analysis and its implementation simplicity make it a suitable candidate for signal detection. Motivated by these reasons, this paper presents a wideband spectrum sensing approach based on cepstral analysis. First, we propose the differential log spectral density algorithm for the edge detection phase in order to detect the spectral boundaries within the wideband of interest. Also, we present a mathematical framework of the proposed algorithm and an expression for the detection threshold of the proposed detector is derived. The simulation results have showed a superior performance of the edge detection algorithm to different wavelet-based techniques at low-to-medium noise power. Used in conjunction with denoising, the proposed edge detector shows good detection results at low signal-to-noise ratio. For the primary user detection phase, we introduce the improved passband autocepstrum detector to tackle the misdetection problem of noise-like signals and it outperforms different state-of-the-art techniques. Finally, the uncertainty problem of the subbands center frequencies is addressed and the baseband autocepstrum detector is introduced as a potential solution to improve signal detection in frequency selective fading.

Published
2020
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6. Novel sensing mechanism for full-duplex secondary users in cognitive radio

Author

Abbass Nasser, Mohamad Rida Mortada, Ali Mansour, K. C. Ya, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Lab-STICC_UBO_CACS_COM, Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
Full-Duplex, Frequency band, Computer science, business.industry, Duplex (telecommunications), 020206 networking & telecommunications, Throughput, 02 engineering and technology, Cognitive Radio, Transmitting-Receiving-Sensing, Mechanism (engineering), [SPI]Engineering Sciences [physics], Cognitive radio, 0202 electrical engineering, electronic engineering, information engineering, Self-Interference Cancellation, 020201 artificial intelligence & image processing, Spectrum Sensing, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Computer network
Abstract

International audience; In this paper, we present a new Transmitting-Receiving-Sensing (TRS) mechanism for full-duplex cognitive radio. Our proposed mechanism permits Secondary Users (SUs) to establish a bidirectional communication over the same frequency band while keeping aware of the Primary User (PU) activity status. The activity period of SU in our proposed mechanism is composed of two stages: In the first stage SU communicates in bidirectional way with his peer SU. At the second stage, one of the SUs becomes silent in order to do not disturb his peer, which performs a spectrum sensing and remains active at the same time using self-interference cancellation technique. The probability of collision related to our mechanism is derived as well as the probability of waste and the average throughput. Our simulation results show that the proposed mechanism can significantly decrease the probability of collision at low SNRp (Signal to Noise Ratio of PU at SU).

Published
2019
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7. On-in: An on-node and in-node based mechanism for big data collection in large-scale sensor networks

Author

Christophe Osswald, Hassan Harb, Ali Mansour, Abbass Nasser, Marwa Ibrahim, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Lab-STICC_ENSTAB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Département STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), and Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Newton forward difference method, business.industry, Computer science, Node (networking), Data management, PKmeans, Big data, Real-time computing, 020206 networking & telecommunications, 02 engineering and technology, Energy conservation, Wireless sensor networks, [SPI]Engineering Sciences [physics], Sensor node, 0202 electrical engineering, electronic engineering, information engineering, Redundancy (engineering), 020201 artificial intelligence & image processing, TelosB mote, business, Cluster analysis, Wireless sensor network, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Data transmission
Abstract

International audience; Nowadays, data are collected everywhere from searches on Google to posts on social media. Thus, the era of big data is started. Among many feasible sources, Wireless Sensor Network (WSN) becomes one of the vibrant big data sources where a huge volume of data is generated from various sensor nodes in large-scale networks. Compared to traditional networks, WSN faces serious challenges especially in data management and conserving sensor energies. In this work, we propose a novel two phases big data processing mechanism, called ON-IN: on-node and in-node (between nodes). In the first phase, we introduce the Newton's forward difference method to reduce the amount of data generated at each sensor node. Meanwhile, in the second phase we perform a clustering technique, i.e. PKmeans (Pattern-Kmeans) algorithm, and aim to reduce the redundancy among data generated by neighboring nodes. Through both simulations and experiments on real telosB motes, we evaluated the efficiency of our proposed mechanism in terms of reducing data transmission and conserving sensor energies, compared to other existing techniques.

Published
2019
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8. Low Complexity Robust Adaptive Beamformer Based On Parallel RLMS and Kalman RLMS

Author

Bachar El-Hassan, Jalal Abdulsayed Srar, Ali Mansour, Ghattas Akkad, Frederic Le Roy, Mohamad Najem, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Adaptive Beamforming, Computer science, MIMO, Smart antenna, 02 engineering and technology, Interference (wave propagation), Least squares, Least mean squares filter, RLMS, [SPI]Engineering Sciences [physics], RLS, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, SINR, Adaptive algorithm, 020206 networking & telecommunications, Kalman filter, LMS, Spatial multiplexing, Adaptive filter, Steering Vector, KRLMS, 020201 artificial intelligence & image processing, Spatial Multiplexing, Multi Antenna, Kalman Filter, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, Adaptive beamformer
Abstract

International audience; To ease spectral congestion and enhance frequency reuse, researchers are targeting smart antenna systems using spatial multiplexing and adaptive signal processing techniques. Moreover, the accuracy and efficiency of such systems is highly dependent on the adaptive algorithms they employ. A popular, adaptive beamforming algorithm, widely used in smart antennas, is the Recursive Least Square (RLS) algorithm. While, the classical RLS implementation achieves high convergence, it still suffers from its inability to track the target of interest. Recently, a new adaptive algorithm called Recursive Least Square - Least Mean Square (RLMS) which employs a RLS stage followed by a Least Mean Square (LMS) algorithm stage and separated by an estimate of the array image vector, i.e. steering vector, has been proposed. RLMS outperforms previous RLS and LMS variants, with superior convergence and tracking capabilities, at the cost of a moderate increase in computational complexity. In this paper, an enhanced, low complexity parallel version of the cascade RLMS is presented by eliminating the need for computing the array image vector cascading stage. Hence, For an antenna of N elements our strategy can reduce the complexity of the system by 20N multiplications, 6N additions and 2N divisions. Moreover, a new Kalman based parallel RLMS (RKLMS) method is also proposed, where the LMS stage is replaced by a Kalman implementation of the classical LMS, and compared under low Signal to Interference plus Noise ratios (SINR). Simulation results show identical performance for the parallel RLMS, cascaded RLMS at 10dB and superior performance and robustness for the RKLMS on low SINR cases up to -10dB.

Published
2019
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9. A closed-form expression of the BER of reconfigurable antenna aided Space Shift Keying (SSK)

Author

Ali Mansour, Marco Di Renzo, Arnaud Coatanhay, Nguyen Linh-Trung, Viet-Dung Nguyen, Lab-STICC_ENSTAB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), and Lab-STICC_ENSTAB_CACS_COM

Subjects
Reconfigurable antenna, Reconfigurable antennas, Ideal (set theory), Computer science, Space-shift-keying, Spatial modulation, Monte Carlo method, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Topology, Channel models, Space shift keying, law.invention, [SPI]Engineering Sciences [physics], law, 0202 electrical engineering, electronic engineering, information engineering, Error probability, 020201 artificial intelligence & image processing, Ray tracing (graphics), Closed-form expression, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Internet-of-Things (IoT)
Abstract

International audience; We consider the performance analysis of reconfigurable antenna-aided space shift keying (RectAnt-SSK) system for Internet-of-Things applications. In particular, we propose a mathematical framework for analyzing performance of RectAnt-SSK in a general context using a single RecAnt (equipped with several ideal radiation patterns (RPs)) and multiple receive antennas. We take into account the effect of RPs from RecAnt in conjunction with a ray tracing based two dimensional (2D) channel model. The effectiveness of the proposed framework is then assessed through Monte Carlo simulation using simulated RPs.

Published
2019
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10. On Optimizing the Performance of Impulse Radio Pulse Position Modulation Based on UWB Gaussian Pulse Derivatives

Author

Ali Mansour, Haidar Taki, Abbass Nasser, Koffi Clément Yao, Lab-STICC_UBO_MOM_DIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CACS_COM, Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
Computer science, Gaussian, Errors, Signal receivers, Modulation index, Gaussian distribution, Ultra-wideband, 02 engineering and technology, symbols.namesake, 020210 optoelectronics & photonics, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Computational methods, Waveform, Radio transmission, Signal to noise ratio, 020206 networking & telecommunications, Code rate, Pulse position modulation, Impulse noise, Transmission (telecommunications), Ultra-wideband (UWB), Pulse-position modulation, symbols, Bit error rate, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In this paper, we enhance the performance of Pulse Position Modulation scheme applied with Impulse Radio Ultra WideBand transmission, while the receiver is based on non-coherent energy detection. By exploiting the time properties of Gaussian pulse derivatives, it was possible to adjust the modulation index in order to improve the data rate in compromise with the error probability. For the 5th Gaussian waveform, we succeeded in increasing the information rate by 25 % with a notable reduction in the bit error rate simultaneously. The transmission speed can be further boosted by 33 % at the cost of additional errors collected at receiver side, which depend on the signal-To-noise ratio and generated pulse dynamics.

Published
2019
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11. Signaux et systèmes : signaux, filtrage et décision

Author

André Quinquis, Ali MANSOUR, Emanuel Radoi, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_UBO_CACS_COM, Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)

Subjects
Traitement du signal, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

National audience; Dans notre société moderne, où la technologie a envahi la vie de tous les jours, l’information devient essentielle. Le traitement du signal joue un rôle crucial pour mieux interpréter les observations reçues et extraire l’information pertinente et utile pour une décision quelle qu’en soit la finalité. De nos jours, le traitement des signaux et des systèmes trouve ses applications dans des domaines variés comme la surveillance, le numérique, l’automatisme, la santé, les télécommunications, la cyberdéfense, les capteurs intelligents, l’internet des objets, l’astronomie, la guerre électronique, la robotique, etc.Cet ouvrage présente d’une manière originale et didactique les concepts fondamentaux du traitement de signal en abordant plus d’une centaine de questions que les étudiants ou les personnes non-spécialistes de la discipline se posent. Armés d’une longue expérience dans l’enseignement supérieur et dans la recherche en France et à l’étranger, les auteurs apportent des éléments de réponse dans un langage clair, concis et mathématiquement accessible au public.Les concepts fondamentaux sont traités via des questions illustrées d’exemples, renforçant le bon sens physique et facilitant l’appréhension de notions trop souvent réputées ardues. L’ouvrage est ainsi rendu accessible au public le plus large : ingénieurs généralistes, étudiants préparant des DUT, BTS, diplômes d’ingénieurs, licences et masters scientifiques. Si l’exercice de dialectique qui consiste, pour convaincre, à proposer simultanément questions et réponses afférentes s’avère parfois réducteur, force est de constater que les auteurs ont su maintenir une très grande ouverture dans leur exposition qui devrait inciter beaucoup de dubitatifs du traitement du signal, de tous bords, à consulter leur ouvrage.

Published
2019

12. An Efficient Non-Blind Steering Vector Estimation Technique For Robust Adaptive Beamforming With Multistage Error Feedback

Author

Ali Mansour, Ghattas Akkad, Jalal Abdulsayed Srar, Bachar El-Hassan, Mohamad Najem, Frédéric Leroy, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Robust adaptive beamforming, Adaptive algorithm, Computer science, 020206 networking & telecommunications, Error feedback, 02 engineering and technology, Kalman filter, LMS, Least mean squares filter, Kalman, [SPI]Engineering Sciences [physics], symbols.namesake, Additive white Gaussian noise, Minimum-variance unbiased estimator, RLS, Robustness (computer science), Control theory, MVDR, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Steering vector estimation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Adaptive beamformer
Abstract

International audience; Adaptive beamforming methods, when applied to practical problems, are known to suffer severe performance degradation if a mismatch occurs between the presumed and actual steering vectors. Such mismatch results in the suppression of the desired signal component, i.e., signal self-nulling phenomenon. Hence, robust approaches to adaptive beamforming and efficient steering vector estimation techniques are required. In this paper, a non-blind steering vector estimation technique is developed as a solution to the signal mismatch problem. The proposed technique extends the least mean square (LMS) and recursive least square (RLS) algorithms to estimate the array steering vector from the desired signal and array weights for robustness against possible mismatch. The resulting array vector is tested using the Kalman filter-based minimum variance distortionless response algorithm (KMVDR) by constraining the desired look direction, i.e., estimated steering vector, in the presence of additive white Gaussian noise. Moreover, a fast converging adaptive algorithm is proposed based on cascaded stages and error feedback. Experimental results have shown satisfactory convergence given the estimated steering vector, hence validating the proposed approach.

Published
2019
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13. Adaptive Strategy and Decision Making Model for Sensing-Based Network Applications

Author

Hassan Harb, Ali Mansour, Christophe Osswald, Abbass Nasser, Marwa Ibrahim, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), American University of Culture & Education (AUCE), Lab-STICC_ENSTAB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Département STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), and Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Divide and conquer algorithms, Grid Topology, Computer science, Node (networking), 010401 analytical chemistry, Real-time computing, Wireless Sensor Networks (WSNs), Support-Confidence Method, 020206 networking & telecommunications, 02 engineering and technology, Grid, 01 natural sciences, 0104 chemical sciences, Energy conservation, Set (abstract data type), Data Reduction, [SPI]Engineering Sciences [physics], Divide-and-Conquer Algorithm, 0202 electrical engineering, electronic engineering, information engineering, Decision Making Model, Decision table, Wireless sensor network, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Decision-making models
Abstract

International audience; Energy conservation and decision making are at the heart of wireless sensor network (WSN) research. Indeed, the limited power of sensors, which is mostly not rechargeable, accompanied to the dense deployment of sensors, which collect a huge amount of data, complicate the makers' decision. In this paper, we propose an energy-efficient adaptive strategy and decision making technique based on a grid architecture of WSN, where a Grid-Leader (GL) is assigned for each grid. Our technique works on the three tiers of WSN: sensors, grid-leader (GL) and sink. At the first tier, each sensor applies a divide-and-conquer algorithm in order to send a reduced set of data to its appropriate GL; At the second tier, the GL combines data coming from sensors and sends useful information, i.e. satisfying a confidence threshold, about the monitored grid to the sink. The last tier, e.g. sink node, introduces two decision tables (score and early decisions) in order to make a real-time decision for each grid in the network. Extensive simulations on real sensor data demonstrated that our technique can be efficiently saving the network energy and helping in taking decisions, while maintaining an acceptable data accuracy level.

Published
2019
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14. Unsupervised clustering of DVT Ultrasound Images using High Order Statistics

Author

D. Mottieryz, F. Le Roy, Thibaud Berthomier, L. Frechiery, Ali Mansour, C. Hoffmanny, L. Bressollettey, B. Hermenaulty, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Clustering algorithms, Deep vein, 030204 cardiovascular system & hematology, Veins, 03 medical and health sciences, 0302 clinical medicine, Statistics, Medicine, cardiovascular diseases, Thrombus, High order, Ultrasonography, Coagulation, medicine.diagnostic_test, business.industry, Ultrasound, Blood flow, medicine.disease, 3. Good health, Pulmonary embolism, Venous thrombosis, medicine.anatomical_structure, 030220 oncology & carcinogenesis, cardiovascular system, Feature extraction, Elastography, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Naturally, a thrombus (or a blood clot) is developed by our body to prevent bleeding. However, various factors can slow or change the blood flow and create a thrombus in a deep vein (more often in the legs). This inappropriate situation is called Deep Venous Thrombosis (DVT) and it may permanently damage the blood vessels. Moreover, this disease (DVT) becomes deadly when a broken fragment of the thrombus reaches the lung and generates a Pulmonary Embolism. Using ultrasound images, our project aims to analyse the thrombus structure and extract information leading to its triggering factors: Immobilization, cancer, surgery, genetic variations, pregnancy, age, etc. In previous studies, we developed an approach based on wavelet transform to analyse the ultrasound images: Ultrasonography and elastography. In this manuscript, we extract new features based on High Order Statistics. These statistics provide hidden relevant information in the images to characterize the thrombus structure.

Published
2018
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15. Blind Elimination of Electrical Artifacts Caused by the Electrosurgical Units (ESU) for ECG Signals

Author

K. Bensafia, S. Haddab, Ali Mansour, Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Computer science, business.industry, Noise reduction, 0206 medical engineering, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, 020601 biomedical engineering, Teaching hospital, Ecg monitoring, Singular value, Electrosurgical unit, Singular value decomposition, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, Ecg signal, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

This research study focuses on the reduction of the electrical artifacts (EA) from electrocardiographic (ECG) signals in order to improve the ECG monitoring in an operating room. The EA can be produced by the electrosurgical unit (ESU) during surgeries. The EA disturbs and causes serious effects on ECG signal monitoring. In this manuscript, a new method to reduce the impact of EA is proposed. First, the singular values decomposition (SVD) is directly applied to noisy ECG signals, and then the signals are studied with a more refined decomposition method called thin singular values decomposition (T-SVD) method. By cancelling the undesirable components obtained by the two methods, the signal can be de-noised. To evaluate the results, cumulated energy (CE) and the derivative of CE are used. In comparison, it has been found out that the T-SVD method gives better results. Experimental results presented in this work are provided using our data base recorded in the operating rooms of Clermont Tonnerre Military Teaching Hospital in Brest, France.

Published
2018
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16. Cancelation of LNA distortions in in‐band full‐duplex systems

Author

Hussein Charara, Ali Mansour, Abbass Nasser, Hani Abdallah, Koffi Clément Yao, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_ENSTAB_CACS_COM, and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)

Subjects
Oscillator phase noise, Computer science, business.industry, Amplifier, Transmitter, 020302 automobile design & engineering, 020206 networking & telecommunications, 02 engineering and technology, Noise (electronics), 0203 mechanical engineering, Nonlinear distortion, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Wireless, Telecommunications signal transmission and processing, Electrical and Electronic Engineering, Transceiver, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Computer Science::Information Theory, Communication channel
Abstract

International audience; In‐band full‐duplex (FD) transceiver has been recently proposed to double the channel efficiency. The main challenge of such FD transceiver consists in achieving an efficient self‐interference cancelation. This fact is prevented by receiver imperfections such as the oscillator phase noise, the analog‐to‐digital converter noise, and the nonlinear distortion (NLD) of the low‐noise amplifier (LNA). This paper deals with the mitigation of the NLD of the receiver's LNA by proposing a new FD transceiver architecture. Based on the fact that the NLD coefficients are changing slowly over time, then the period between two successive estimations of the NLD coefficients may be relatively long. Motivated by this fact, a new wire connection is introduced between the transmitting circuit and the receiving one in order to neglect the wireless channel effects when estimating the NLD coefficients. If the estimation of the NLD coefficients is required, then the transmitter stops the wireless transmission and sends a sequence to the receiver via the wire channel. This procedure does not affect the throughput rate since it is repeated every several frames due to the slow time‐variation of the NLD coefficients. The estimated coefficients are used to attenuate the effects of NLD at the receiver's side, where an auxiliary chain is introduced to act as reference to the receiver's ordinary chain. As a proof of the concept, intensive simulations have been done using realistic data parameters. Our numerical results corroborate the efficiency of the proposed architecture, where the NLD of LNA is highly attenuated leading to an efficient self‐interference cancelation.

Published
2018
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17. UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring

Author

Mohammad Ayaz, Denis Le Jeune, Ali Mansour, El-Hadi M. Aggoune, Mohammad Ammad Uddin, University of Tabuk, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
UAVs for agriculture, Computer science, Real-time computing, Throughput, 02 engineering and technology, lcsh:Chemical technology, 7. Clean energy, 01 natural sciences, Biochemistry, Field (computer science), Article, Analytical Chemistry, dynamic clustering, cluster head selection, IoT for agriculture, [SPI]Engineering Sciences [physics], 0202 electrical engineering, electronic engineering, information engineering, Wireless, [INFO]Computer Science [cs], lcsh:TP1-1185, Electrical and Electronic Engineering, Instrumentation, business.industry, Node (networking), 010401 analytical chemistry, 020206 networking & telecommunications, Atomic and Molecular Physics, and Optics, 0104 chemical sciences, Path (graph theory), Unavailability, business, Wireless sensor network, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In this study, a crop health monitoring system is developed by using state of the art technologies including wireless sensors and Unmanned Aerial Vehicles (UAVs). Conventionally data is collected from sensor nodes either by fixed base stations or mobile sinks. Mobile sinks are considered a better choice nowadays due to their improved network coverage and energy utilization. Usually, the mobile sink is used in two ways: either it goes for random walk to find the scattered nodes and collect data, or follows a pre-defined path established by the ground network/clusters. Neither of these options is suitable in our scenario due to the factors like dynamic data collection, the strict targeted area required to be scanned, unavailability of a large number of nodes, dynamic path of the UAV, and most importantly, none of these are known in advance. The contribution of this paper is the formation of dynamic runtime clusters of field sensors by considering the above mentioned factors. Furthermore a mechanism (Bayesian classifier) is defined to select best node as cluster head. The proposed system is validated through simulation results, lab and infield experiments using concept devices. The obtained results are encouraging, especially in terms of deployment time, energy, efficiency, throughput and ease of use.

Published
2018
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18. Wireless Sensor’s Civil Applications, Prototypes, and Future Integration Possibilities: A Review

Author

Mohammad Ammad-Uddin, Muhammad Ayaz, Imran Baig, El-Hadi M. Aggoune, University of Tabuk, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Dhofar University, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Engineering, Emerging technologies, 02 engineering and technology, prototypes, 01 natural sciences, Field (computer science), [SPI]Engineering Sciences [physics], Intelligent sensor, Wireless sensors, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Electrical and Electronic Engineering, Instrumentation, future expectations, business.industry, communication, 010401 analytical chemistry, Electrical engineering, integration possibilities, 020206 networking & telecommunications, sensor applications and classification, 0104 chemical sciences, Variety (cybernetics), Smart grid, Key (cryptography), business, Telecommunications, Wireless sensor network, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Advances in wireless communication are forging new possibilities for sensors. New sensors are equipping major systems around us with unparalleled intelligence as in the case of smart grids, smart homes, and driverless vehicles. Considering the current developments in the field of sensor networks, one feels that it has reached an interesting stage, where the role of the sensors becoming crucial in numerous applications. This all speaks volumes of the fact that sensors are going to be at the front and center of most of future technologies, needless to say the Internet of Things. Considering their vital role from futuristic perspective this survey reports variety of sensors along with their characteristics and applications, which impact human life and well-being. In addition, this survey considers recent prototypes, leading sensor manufacturers as well as major projects that have made use of sensors since the last decade. Moreover, significance of this effort is that integration possibilities of sensors with other networks and major technologies are discussed, while possible challenges and key benefits are highlighted. This research effort focuses the latest developments in the area of sensors and sensor networks as research gears up to meet the challenges of the emerging technologies and their applications particularly those that emphasize smart sensors.

Published
2018
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19. Cooperative MIMO and multi-hop relaying techniques for free-space optical communications: a survey

Author

Mohamed Abaza, Raed Mesleh, Ali MANSOUR, Aggoune, El-Hadi M., Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), University of Tabuk, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
[SPI]Engineering Sciences [physics], Computer science, business.industry, Cooperative MIMO, Optical communication, Free space, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Hop (networking), Computer network
Abstract

International audience; In this survey, first a historical background of new challenges in optical communication systems is given. Then, approaches to address recently raised problems by the wireless communication community are introduced, challenges encountered in real-life applications are described, and state of the art advances in optical free space communication (FSO) techniques are explained.

Published
2018

20. Analytical performance analysis for blind quantum source separation with time-varying coupling

Author

Ali Mansour, Yannick Deville, Simon Rebeyrol, Alain Deville, Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Curtin University, The University of New South Wales, Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Coupling, Computer science, 020206 networking & telecommunications, 02 engineering and technology, 01 natural sciences, Blind signal separation, Electronic mail, 010309 optics, Time varying coupling, [SPI]Engineering Sciences [physics], Quantum state, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Source separation, Blind source separation, Almost surely, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, Quantum, Mixing (physics)
Abstract

International audience; Classical, i.e. non-quantum, blind source separation (BSS) methods estimate unknown source signals by using only mixed signals obtained by transferring these source signals through a mixing transform, which typically has unknown parameter values. We developed quantum versions of BSS, in which the mixing parameter values almost always remained fixed over time. We here show that rapidly varying mixing is much more complex to handle, because unknown quantum states cannot be cloned, i.e. copied. We avoid this issue thanks to a specific separating system based on a master-slave structure. We provide an original analytical analysis of the performance of that structure, depending on the mismatch between its master and slave inverting blocks.

Published
2017
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21. Agriculture internet of things: AG-IoT

Author

M. Ammad Uddin, D. Le Jeune, El-Hadi M. Aggoune, Ali Mansour, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Sensor Networks & Cellular Systems (SNCS), University of Tabuk, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)

Subjects
Scheme (programming language), Autonomous aerial vehicles, Emerging technologies, Computer science, media_common.quotation_subject, Internet of Things, Crops, Telecommunication network reliability, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI]Engineering Sciences [physics], Routing protocols, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Cluster analysis, media_common, computer.programming_language, 2. Zero hunger, Power transmission, business.industry, 020206 networking & telecommunications, Agriculture, Pattern clustering, 020201 artificial intelligence & image processing, Mobile telephony, business, computer, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Data transmission, Computer network
Abstract

International audience; The Internet of Things (IoT) for agriculture is a rapidly emerging technology where seamless connected sensors device make it possible to monitor and control crop parameters to get quality and quantity of food. This research proposes a new dynamic clustering and data gathering scheme for harnessing the IoT in agriculture. In this paper, an Unmanned Aerial Vehicle (UAV) is used to locate and assist ground IoT devices to form themselves in cluster formation then establishes a reliable uplink communication backbone for data transmission. Use of multifrequency, multi power transmission, and mobile sink make it possible to reduce power utilization of IoT devices as much as possible. The proposed scheme is evaluated by using simulation models and practical experiments. It is found working outclass as compare to all existing systems.

Published
2017
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22. Wireless Based System for Continuous Electrocardiography Monitoring during Surgery

Author

Kahina Bensafia, Ali MANSOUR, Gilles Le Maillot, Benoit Clement, Olivier Reynet, Philippe Aries, Haddab, S., Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Département STIC [Brest] (STIC), Lab-STICC_ENSTAB_CID_PRASYS, Pôle STIC_OSM, Centre de recherche sur la formation (CRF), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Service de Réanimation Médicale (HIA BREST - Réa Med), HIA BREST, Reynet, Olivier, Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
[SDV.IB] Life Sciences [q-bio]/Bioengineering, surgery, Electrocardiography, monitoring, education, [SDV.IB]Life Sciences [q-bio]/Bioengineering, wireless system, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; —This paper presents a system designed for wireless acquisition, the recording of electrocardiogram (ECG) signals and the monitoring of the heart's health during surgery. This wireless recording system allows us to visualize and monitor the state of the heart's health during a surgery, even if the patient is moved from the operating theater to post anesthesia care unit. The acquired signal is transmitted via a Bluetooth unit to a PC where the data are displayed, stored and processed. To test the reliability of our system, a comparison between ECG signals processed by a conventional ECG monitoring system (Datex-Ohmeda) and by our wireless system is made. The comparison is based on the shape of the ECG signal, the duration of the QRS complex, the P and T waves, as well as the position of the ST segments with respect to the isoelectric line. The proposed system is presented and discussed. The results have confirmed that the use of Bluetooth during surgery does not affect the devices used and vice versa. Pre-and post-processing steps are briefly discussed. Experimental results are also provided.

Published
2017

23. LTE-M adaptive eNodeB for emergency scenarios

Author

Mohamad Najem, F. Le Roy, Ali Mansour, A. H. El Fawal, D. Le Jeune, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Lab-STICC_ENSTAB_CACS_COM, Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), ADAptive Computing (ADAC), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)

Subjects
Scheme (programming language), IoT, LPWAN, Computer science, 02 engineering and technology, eNodeB, LTE-A, LTE-M, H2H, [SPI]Engineering Sciences [physics], EnodeB, 0203 mechanical engineering, NB-IoT, Overload Congestion Mechanism, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), M2M, computer.programming_language, business.industry, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, 020302 automobile design & engineering, SimuLTE, Term (time), LTE Advanced, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer, Computer network
Abstract

International audience; The next generation of mobile systems must provide a balancing strategy towards M2M (Machine-to-Machine) traffic, while maintaining a sustainable Quality of Service (QoS) for H2H (Human-to-Human) traffic, especially with the expected exponential growth of the number of M2M devices in the coming years carried by the advance of the IoT (Internet of Things) technology. In normal situations, it is obvious that using a 1.4 MHz bandwidth in Long Term Evolution for Machines (LTE-M), helps in improving M2M device complexity, cost and battery life effectively. However, in emergency scenarios, an expected M2M storm will lead inevitably to a fast resource depletion accompanied by an eNodeB congestion in a split second. In this manuscript, we propose a novel scheme "LTE-M Adaptive eNodeB", which gradually solves the eNodeB overload problem, while keeping the H2H traffic QoS not to be affected badly. Moreover, We adaptively manage network resources to allow both traffic to efficiently access the LTE network via SimuLTE open-source modeler. Eventually, an evaluation of the mutual impact of M2M and H2H coexistence is also presented.

Published
2017
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24. Spectrum Sensing and Channel Estimation in Cognitive Radio

Author

Azza Moawad, Koffi Clément Yao, Ali MANSOUR, Roland Gautier, Arab Academy for Science, Technology and Maritime Transport [Alexandria] (AASTMT), Lab-STICC_UBO_CACS_COM, Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), and Arab Academy for Science, and Technology and Maritime Transport

Subjects
Spectrum sensing, Scattering transforms, [SPI]Engineering Sciences [physics], Cognitive radios, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The detection of signal presence is a crucial job carried out through spectrum sensing in cognitive radio systems. A tradeoff between detection accuracy and detector complexity is tackled often in researches. Amongst different spectrum sensing techniques, conventional energy detection is widely used due to its simplicity of implementation, however, it is sensitivity to noise variation makes it unreliable in low signal-to-noise-ratio environments. This manuscript proposes the use of scattering-based detector for spectrum sensing in the context of cognitive radio to provide reliable signal detection. Through scattering transform, signal features are enhanced whereas noise variations effects are reduced which enhances the detection results. The proposed detector is tested for chirp and spread spectrum signals in additive white Gaussian noise channel. Performance evaluation is conducted through calculation of detection probability for several signal-to-noise ratio values. Through MonteCarlo simulations, the proposed detector proves reliability of detection as compared to energy detection which provides false detection decision when noise only considered for detection.

Published
2017

25. RFID Eavesdropping Using SDR Platforms

Author

Ali Mansour, T. Quiniou, F. Le Roy, Raafat Lababidi, D. Le Jeune, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, and École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)

Subjects
Protocol (science), Communication security, Cover (telecommunications), SIMPLE (military communications protocol), business.industry, Computer science, 020206 networking & telecommunications, Eavesdropping, 02 engineering and technology, Software-defined radio, [SPI.TRON]Engineering Sciences [physics]/Electronics, 020202 computer hardware & architecture, Transmission (telecommunications), 0202 electrical engineering, electronic engineering, information engineering, Radio-frequency identification, business, Communications protocol, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Radio-Frequency Identification, Computer network
Abstract

International audience; Radio Frequency Identification (RFID) devices have been recently introduced in several applications and services such as NationalIdentification Cards, Passports, Credit Cards, etc. In this paper, we investigate the security of such devices by showing the possibility of con-ducting RFID eavesdropping using simple and common devices such as a Software Defined Radio platform. Generally classical RF attacks canbe made on long range transmission protocols, however we extend the standard RF attacks to cover RFID communication protocols. In thismanuscript, an off-line step-by-step analysis is developed to prove the feasibility of reversing a complete RFID protocol. A real-time implemen-tation is also realized to highlight a real threat in the everyday life.

Published
2017
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26. Blind Source Separation-based Full-Duplex Cognitive Radio

Author

Abbass Nasser, Ali MANSOUR, Koffi Clément Yao, Hassan Assaf, Hussein Abdallah, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), American University of Culture & Education (.) (AUCE), Laboratoire d'Electronique et Systèmes de Télécommunications (LEST), Université de Brest (UBO)-Ecole Nationale Supérieure des Télécommunications de Bretagne-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
Full-Duplex, Blind Source Separation, Cognitive Radio, Half-Duplex, Spectrum Sensing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

International audience; Full-Duplex has been emerged in Cognitive Radio Network in order to avoid the silence period of the Secondary User (SU) during the Spectrum Sensing. SU should monitor the Primary User (PU) activities in order to avoid any harmful interference. The conventional Full-Duplex Cognitive Radio (FDCR) systems are based on the Self-Interference Cancellation, where a problem of Residual Self-Interference and Hardware Imperfections leads to an important loss in the detection performance. In this paper, we develop spectrum sensing techniques for FD-CR based on the Blind Source Separation (BSS). In BSS, multi receiving antennas are required to detect the presence of the Primary User (PU) signal without the need for a silence period during the spectrum sensing. This fact enhances the data rate of the SU. In addition, this algorithms do not require any priori knowledge about the SU or the PU signal. Experimental results show that in addition to eliminating the silence period, the performance of our developed algorithms based on BSS outperforms the classical spectrum sensing Energy Detector (ED).

Published
2017

27. Deep venous thrombus characterization: ultrasonography, elastography and scattering operator

Author

Berthomier, Thibaud, Mansour, Ali, Bressollette, Luc, Roy, Frédéric Le, Mottier, Dominique, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), and Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne)

Subjects
lcsh:T, Wavelets, lcsh:Technology, Feature Extraction, [SPI.TRON]Engineering Sciences [physics]/Electronics, [SPI]Engineering Sciences [physics], Scattering Operator, Image preprocessing, Deep Venous Thrombosis, lcsh:Q, cardiovascular diseases, Elastography, lcsh:Science, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Thrombus, ComputingMilieux_MISCELLANEOUS, Ultrasonography
Abstract

A thrombus or a blood clot is the result of blood coagulation which is a natural process to prevent bleeding. An inappropriate formation of a thrombus in a deep vein is known as Deep Venous Thrombosis (DVT). The main complication of a DVT is a Pulmonary Embolism (PE) which occurs when a thrombus breaks loose and travels to the lungs. DVT, PE, or both are also known as Venous thromboembolism (VTE). It affects an estimated 300,000–600,000 Individuals just in the United States per year and can cause considerable morbidity and mortality. This multifactorial disease related to advanced age, immobility, surgery or obesity is an important public health issue. Our project is looking to link the VTE epidemiology (risk factors, patient history, PE) to the thrombus structure. To reach our goals, we are collecting ultrasonography (echogenicity) and elastography (stiffness) of human thrombus. This manuscript describes our approach to create and preprocess a database using Toshiba Aplio 500. Our approaches to characterize the thrombus structure with ultrasound images are also described. The feature extraction is made with the scattering operator. Obtained features are then reduced using Principal Component Analysis and are analyzed to evaluate our approach.

Published
2017
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28. Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments

Author

A. Abdul Ghani, Abbass Nasser, Hani Abdallah, Ali Mansour, Koffi Clément Yao, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Lab-STICC_ENSTAB_CACS_COM, Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), American University of Culture & Education (AUCE), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)

Subjects
Full-Duplex, Throughput Analysis, Computer science, business.industry, Self -Interference Cancellation, 020206 networking & telecommunications, 020302 automobile design & engineering, 02 engineering and technology, Cognitive Radio, lcsh:Telecommunication, [SPI.TRON]Engineering Sciences [physics]/Electronics, Non-Linearity Distortion, Cognitive radio, 0203 mechanical engineering, lcsh:TK5101-6720, 0202 electrical engineering, electronic engineering, information engineering, Self-Interference Cancellation, Spectrum Sensing, business, Throughput (business), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Computer hardware
Abstract

International audience; In Full-d uplex Cognitiv e Radios, the silen t period of the Secondary User (SU) during the Spectrum Sensing can be elimina ted by appl ying the Self -Interf erence Cancella tion (SIC). Due to the channel estima tion error and the hardw are imperf ections (the Phase Noise and the Non-Linear Distortion (NLD)) SIC is not perf ectl y perf ormed and resul ts in the Resid ual Self -Interf erence (RSI) which aects the Spectrum Sensing reliability . In this paper , the eect of RSI on Spectrum Sensing is anal yticall y deriv ed by expressing the detection (pd ) and false alarm (pf a) probabilities under FD in terms of the ones under Half -Duplex (HD) (where SU shoul d remain silen t during the Spectrum Sensing period). In addition, an algorithm is proposed to suppress the NLD and improv es the Spectrum Sensing perf ormance. Hereinafter , the SU throughput under FD is anal ysed comparing to HD by deriving the upper and lower bounds to be respected by pf a and pd respectiv ely in order to make FD beneficia rela tiv e to HD.

Published
2017
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29. Spectrum Sensing Enhancement Using Principal Component Analysis

Author

Ali Mansour, Hani Abdallah, Hussein Charara, Mohamad Chaitou, Abbass Nasser, Koffi Clément Yao, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_UBO_CACS_COM, Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Université Libanaise, and Billon-Coat, Annick

Subjects
Principal Component Analysis, business.industry, Spectrum (functional analysis), Detector, 020206 networking & telecommunications, 020302 automobile design & engineering, Context (language use), Pattern recognition, 02 engineering and technology, Spectrum Sensin, Signal, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Cognitive radio, Signal-to-noise ratio, 0203 mechanical engineering, Principal component analysis, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Multi-antennas system, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics
Abstract

International audience; In this paper, Principal Component Analysis (PCA)techniques are introduced in the context of Cognitive Radio toenhance the Spectrum Sensing performance. PCA step increasesthe SNR of the Primary User’s signal and, consequently, enhancesthe Spectrum Sensing performance. We applied PCA as acombination scheme of a multi-antenna Cognitive Radio system.Analytic results will be presented to show the effectiveness ofthis technique by deriving the new SNR obtained after applyingPCA, which can be considered a pre-processing step for a classicalSpectrum Sensing algorithm. The effect of PCA is examined withwell known detectors in Spectrum Sensing, where the proposedtechnique shows its efficiency. The performance of the proposedtechnique is corroborated through many simulations.

Published
2016

30. Blind detection of cyclostationary features in the context of Cognitive Radio

Author

Ali Mansour, J.-M. Kadjo, Koffi Clément Yao, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), and Billon-Coat, Annick

Subjects
Cyclic Spectrum, Cyclostaionarity, Computer science, Cyclostationary process, Detection threshold, Speech recognition, Detector, Feature extraction, Fast Fourier transform, 020206 networking & telecommunications, 02 engineering and technology, Cognitive Radio, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Cognitive radio, Robustness (computer science), FFT Acumulation Method, Spectrum Coherence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Spectrum Sensing, Crest factor, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

The methods of dynamic access to spectrum developed in Cognitive Radio require efficient and robust spectrum detectors. Most of these detectors suffer from four main limits: the computational cost required for the detection procedure; the need of prior knowledge of Primary User's (PU) signal features; the poor performances obtained in low SNR (Signal to Noise Ratio) environment; finding an optimal detection threshold is a crucial issue. In this paper, we propose a blind detection method based on the cyclostationary features of communication signals to overcome the four limits of spectrum sensors. In order to reduce the computational cost, the FFT Accumulation Method has been adjusted to estimate the cyclic spectrum of the intercepted signal. Then, the spectrum coherence principle is used to catch the periodicity hidden in the cyclic autocorrelation function of this signal. The hidden periodicity is revealed by the crest factor of the cyclic domain profile. The detection of PU's signal is achieved by comparing the embedded periodicity level with a predetermined threshold related to the crest factor. This threshold varies randomly dependent on the SNR. Then, we have modelized the distribution law of the threshold in order to select the optimal value. Using the crest factor of the cyclic domain profile as a detection criterion has permitted to develop a spectrum sensor which is able to work in a blind context. Simulation results corroborate the efficiency and robustness of the proposed detector compared with the classical Energy Detector.

Published
2016
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31. Venous Blood Clot Structure Characterization Using Scattering Operator

Author

Thibaud Berthomier, Dominique Mottier, Ali Mansour, Frederic Le Roy, Luc Bressollette, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Département de Médecine Interne et Pneumologie [Brest] (DMIP - Brest), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Groupe d'Etude de la Thrombose de Bretagne Occidentale (GETBO), Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO), and IEEE

Subjects
medicine.medical_specialty, elastography, scattering operator, Deep vein, Venous Thrombosis (DVT), 030204 cardiovascular system & hematology, 03 medical and health sciences, ultrasound imaging, 0302 clinical medicine, wavelet, medicine, 030212 general & internal medicine, Myocardial infarction, Thrombus, medicine.diagnostic_test, business.industry, Venous blood, medicine.disease, Thrombosis, Pulmonary embolism, Venous thrombosis, medicine.anatomical_structure, thrombus, Radiology, Elastography, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Deep venous thrombosis (DVT) occurs when a blood clot appear within a deep vein, usually in the legs. The main complication is pulmonary embolism (PE) which is the third cause of vascular death after myocardial infarction and cardiovascular event. DVT onset is multifactorial (immobilization, surgery, age, cancers, genetic variations) and it is mostly diagnosed via ultrasound. In our project, we are interested in a new approach, which consists in using ultrasound and elastography to assess the mechanical properties of blood clots and to identify the thrombosis triggering factors. This means characterizing its structure, establishing his age, the cause of its formation and the risk of PE. In this paper, we aim to analyze the clot texture using the scattering operator which combines wavelet transform convolutions with non-linear modulus and averaging operators. The scattering operator is showing promising results in signal processing and especially in image classification. Therefore, we will apply this operator to our database and discuss the results of our simulation at the end of this manuscript.

Published
2016

32. Automatic clustering for of MRI images,application on perfusion MRI of brain

Author

Chuzel, P., Mansour, Ali, Ognard, J., Gentric, J., Hamad, D., BETROUNI, N., Bressollette, L., Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Mines-Télécom [Paris] (IMT), Groupe d'Etude de la Thrombose de Bretagne Occidentale (GETBO), Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO), Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC), Université du Littoral Côte d'Opale (ULCO), Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 (ONCO-THAI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Département de Médecine Interne et Pneumologie [Brest] (DMIP - Brest), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), and Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM)

Subjects
Spectral clustering, Signal and Image processing, Automatic segmentation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, MRI
Abstract

International audience; Many studies have been made in order to propose automatic diagnostic inmedical fields. This paper proposes a new approach to deal with the problem ofspectral clustering for signal extracted from brain MRI images. The tool-chaindeveloped during this study can be easily implemented for the extraction and theanalysis of information from perfusion MRI. We propose a reliable program whichcan easily isolate healthy from any pathological tissues. Experimental results areshown and discussed

Published
2016

33. Deep Venous Thrombosis: Database creation and image preprocessing

Author

Thibaud Berthomier, Dominique Mottier, Frederic Le Roy, Ali Mansour, Luc Bressollette, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Département de Médecine Interne et Pneumologie [Brest] (DMIP - Brest), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Groupe d'Etude de la Thrombose de Bretagne Occidentale (GETBO), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), and Université de Brest (UBO)-Université de Brest (UBO)

Subjects
image preprocessing, elastography, medicine.medical_specialty, Liver fibrosis, Human Machine Interface (HMI), 02 engineering and technology, 030204 cardiovascular system & hematology, Deep Venous Thrombosis (DVT), Thrombophilia, computer.software_genre, ultrasound imaging, 03 medical and health sciences, 0302 clinical medicine, clot, 0202 electrical engineering, electronic engineering, information engineering, medicine, cardiovascular diseases, National health, medicine.diagnostic_test, Database, business.industry, Critically ill, medicine.disease, 3. Good health, Pulmonary embolism, Venous thrombosis, 020201 artificial intelligence & image processing, Elastography, Radiology, Ultrasonography, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer
Abstract

International audience; Deep Venous Thrombosis (DVT) is a major national health problem. Its progression to a pulmonary embolism can lead to significant mortality. DVT is a frequent, severe and often under-recognized diagnosis for critically ill patient. Many factors can increase the risk of DVT: immobilization, cancer, age, surgery, previous DVT, hormone, thrombophilia, etc. Ultrasonography is mostly performed for its diagnosis because it is easy, immediate and non-invasive. In our project, the main goal is to determine the possible correlations between the blood clot structure and the DVT triggering factors. To characterize its structure, we decided to combine ultrasound and elastography imaging. The latter technique is already used to diagnose other diseases such as liver fibrosis and gives promising results to date animal blood clot. This paper explains how we create our database using Toshiba’s system. Our data are screenshot images that have to be prepared for further processing such as texture characterization.

Published
2016
Full Text
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34. Spatial and Time diversities for Canonical Correlation Significance Test in Spectrum Sensing

Author

Hussein Charara, Ali Mansour, Koffi Clément Yao, Mohamad Chaitou, Abbass Nasser, Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Université Libanaise, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Electronique et Systèmes de Télécommunications (LEST), Université de Brest (UBO)-Ecole Nationale Supérieure des Télécommunications de Bretagne-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, and Billon-Coat, Annick

Subjects
Cyclostationary process, Computer science, 02 engineering and technology, Time diversity, Multi-Antenna System, 0203 mechanical engineering, Statistical significance, Statistics, 0202 electrical engineering, electronic engineering, information engineering, Synthetic aperture sonar, Spatial and Time diversities, Spectrum Sensing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Noise (signal processing), Detector, 020206 networking & telecommunications, 020302 automobile design & engineering, Single Antenna System, Cognitive Radio, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Cognitive radio, Canonical Correlation Significance Test, Antenna (radio), Canonical correlation, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In this paper, we present a new detector for cognitive radio system based on the Canonical Correlation SignificanceTest (CCST). Unlike existing CCST approaches, which can only be applied on Multi-Antenna System (MAS), our algorithm canbe extended for both Single Antenna System (SAS) and MAS.For SAS, the proposed algorithm exploits the time diversity of cyclostationary signals in order to detect the Primary User (PU) signal. Our simulation results shows that our algorithm outperforms well-known cyclostationary algorithm [9]. For MAS, our algorithm uses both spatial and time diversities to apply the CCST. Numerical results are given to illustrate the performance of our algorithm and verify its efficiency for special noise cases(spatially correlated and spatially colored). The simulation results show the superiority of the performance of the proposed detectorcompared to the recently CCST proposed algorithm [1].

Published
2016

35. UAV routing protocol for crop health management

Author

El-Hadi M. Aggoune, Denis Le Jeune, Ali Mansour, Muhammad Ayaz, Muhammad Ammad-udin, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Sensor Networks & Cellular Systems (SNCS), and University of Tabuk

Subjects
Routing protocol, Energy management, Computer science, UAV, Real-time computing, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, law.invention, Smart farming, Relay, law, 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), Data gathering, Dissemination, Simulation, 2. Zero hunger, 020203 distributed computing, Precision agriculture, 020206 networking & telecommunications, 15. Life on land, [SPI.TRON]Engineering Sciences [physics]/Electronics, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Wireless sensor network
Abstract

International audience; Wireless sensor networks are now a credible means for crop data collection. The installation of a fixed communication structure to relay the monitored data from the cluster head to its final destination can either be impractical because of land topology or prohibitive due to high initial cost. A plausible solution is to use Unmanned Aerial Vehicles (UAV) as an alternative means for both data collection and limited supervisory control of sensors status. In this paper, we consider the case of disjoint farming parcels each including clusters of sensors, organized in a predetermined way according to farming objectives. This research focuses to drive an optimal solution for UAV search and data gathering from all sensors installed in a crop field. Furthermore, the sensor routing protocol will take into account a tradeoff between energy management and data dissemination overhead. The proposed system is evaluated by using a simulated model and it should find out a class among all under consideration.

Published
2016
Full Text
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36. Spectrum Sensing for Full-Duplex Cognitive Radio Systems

Author

Mohamad Chaitou, Ali Mansour, Koffi Clément Yao, Abbass Nasser, Hussein Charara, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Université Libanaise, Laboratoire d'Electronique et Systèmes de Télécommunications (LEST), Université de Brest (UBO)-Ecole Nationale Supérieure des Télécommunications de Bretagne-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, EAI, and Billon-Coat, Annick

Subjects
Full-Duplex, Computer science, Amplifier, 020206 networking & telecommunications, 02 engineering and technology, Cognitive Radio, Residual, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Non-Linearity Distortion, Cognitive radio, Transmission (telecommunications), Single antenna interference cancellation, Distortion, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Self-Interference Cancellation, 020201 artificial intelligence & image processing, Transceiver, Spectrum Sensing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Communication channel
Abstract

International audience; Full-Duplex (FD) transceiver has been proposed to be used in Cognitive Radio (CR) in order to enhance the Secondary User (SU) Data-Rate.In FD CR systems, in order to diagnose the Primary User activity, SU can perform the Spectrum Sensing while operating. Making an accurate decision about the PU state is related to the minimization of the Residual Self Interference (RSI). RSI represents the error of the Self Interference Cancellation (SIC) and the receiver impairments mitigation such as the Non-Linear Distortion (NLD) of the receiver Low-Noise Amplifier (LNA). In this manuscript, we deal with the RSI problem by deriving, at the first stage, the relation between the ROC curves under FD and Half-Duplex (HD) (when SU stops the transmission while sensing the channel). Such relation shows the RSI suppression to be achieved in FD in order to establishan efficient Spectrum Sensing relatively to HD. In the second stage, we deal with the receiver impairments by proposing a new technique to mitigatethe NLD of LNA. Our results show the efficiency of this method that can help the Spectrum Sensing to achieve a closed performance under FD to that under HD.

Published
2016

37. Relay Selection for Full-Duplex FSO Relays Over Turbulent Channels

Author

El-Hadi M. Aggoune, Raed Mesleh, Ali Mansour, Mohamed Abaza, Billon-Coat, Annick, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Electrical Depart., University of Tabuk, German Jordanian University, and Sensor Networks & Cellular Systems (SNCS)

Subjects
Computer science, 02 engineering and technology, Communications system, Topology, law.invention, 020210 optoelectronics & photonics, Signal-to-noise ratio, full-duplex, Relay, law, Computer Science::Networking and Internet Architecture, 0202 electrical engineering, electronic engineering, information engineering, Path loss, decode and forward, cooperative relay, Computer Science::Information Theory, Free-space optical communications, outage probability, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, business.industry, Cumulative distribution function, 020206 networking & telecommunications, bit error rate, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, relay selection, Bit error rate, half-duplex, Telecommunications, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Random variable, Communication channel, atmo- spheric turbulence
Abstract

International audience; This paper investigates the performance of thebest relay selection, based on the max-min signal-to-noise ratiocriterion for dual-hop free-space optical (FSO) full-duplex (FD)relays communication system. Decode-and-forward relays overlog-normal (LN) channels for weak-to-moderate turbulence andgamma-gamma (G-G) channels for strong turbulence are con-sidered. We assume that the relays have full channel knowledgeand the channel is symmetrical. Considering path loss effects andmisalignment errors, the outage probability (OP) of the selectionis obtained for both half-duplex (HD) and FD relays using thecumulative distribution function (CDF) of the best selection forLN and G-G random variables. Moreover, the average bit errorrate (ABER) expressions for FSO communication system overLN channels are derived with the help of Gauss-Laguerre’squadrature rule for HD relays, FD relays and direct link. Ourresults show that FD relays have lowest ABER and OP comparedwith the direct link and HD relays. Monte Carlo simulationscorroborate the correctness of the obtained analytical results.

Published
2016

38. FILTRE RECONFIGURABLE, COMMUTABLE ET DESACTIVABLE

Author

Raafat Lababidi, Frédéric Le Roy, Ali MANSOUR, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), and Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

L'invention concerne un filtre reconfigurable, commutable et désactivable comprenant une entrée de filtre (A) et une sortie de filtre (B) reliées par une voie directe VD, le filtre est caractérisé en ce que la voie directe (VD) est couplée (LC) à un premier résonateur (24) et un deuxième résonateur (25), chaque extrémité du premier résonateur (24) et du deuxième résonateur (25) étant connectées à une impédance de charge, ledit filtre comprend trois moyens de configuration (diode PIN Pl, P2 et P3) dont un moyen de configuration est positionné au milieu de la voie directe et les deux autres moyens de configuration après chaque ligne couplée (LC) dans le premier résonateur (24) et le deuxième résonateur (25), le filtre comprend trois entrées de reconfiguration pour chaque moyen de configuration.

Published
2015

39. Wideband High Dynamic Range Surveillance

Author

F. Le Roy, R. Dos Santos Fagundes, Ali Mansour, D. Lejeune, Raafat Lababidi, Ministère de la Défense, Gouvernement - France, Laboratoire de génie électrique de Paris (LGEP), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Université de Sophia Antipolis, Billon-Coat, Annick, Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), and Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Dynamic range, electronic warfare, Computer science, business.industry, EM surveillance, Signal, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, AGC, Frequency domain, Electronic engineering, Logarithmic Amplifier, Automatic gain control, Wideband, business, Telecommunications, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Circuit diagram, Digital signal processing, High dynamic range, Radio Cognitive, Electronic circuit, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, OFDM
Abstract

International audience; In recent radio-communication applications, receivers may be jammed by high power unwanted signals. In this case, the received signal can be considered as the sum of a strong unwanted signal and a very weak target signal. Even though the two signals don’t overlap in the frequency domain, the processing of the weak signal becomes very hard as it can be vanished at the output of the Analog Digital Convertor. To avoid this scenario, many nonlinear circuits are proposed in the literature. Our study focuses on the separation of a weak and a very strong signals which are wideband signals and they are very close in the frequency domain. Several circuits have been implemented and simulated. The proposed circuit diagram is also presented. Finally, simulations are presented and discussed.

Published
2015

40. Highly integrated Active Dual Response Filter

Author

Lababidi, Mohamad-Raafat, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), and Billon-Coat, Annick

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

International audience; This work focuses on the design of a novel compact Active Dual Response Filter within a single device which allows ensuring the coexistence of three different standards while proposing an optimal structure in terms of response and space. The proposed filter is based on a highly selective low-pass filter at which a highly integrated compact notch filter is coupled. This co-integration of both filters is not a cascade so that the dual response filter occupies the same area as the low-pass filter alone. The Notch filter is set to 700 MHz and is loaded by an Active Capacitor (AC) circuit that allows a rejection at the notch central frequency of at least 19 dB. The low-pass filter cut-off frequency is Fc =890 MHz, the in band return loss is better than 20 dB. This methodology can be extended to various shapes of filter functions.

Published
2015

41. Miniature Antenna for Breast Tumor Detection

Author

M. Le Roy, Raafat Lababidi, Sawsan Sadek, André Pérennec, Zahra Katbay, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_MOM_DIM, Lebanese University [Beirut] (LU), Université de Brest (UBO), Université de Grenoble, and Billon-Coat, Annick

Subjects
Microwave breast imaging, 0206 medical engineering, Context (language use), 02 engineering and technology, Breast tumor, Microstrip antenna, Breast cancer, Tumor breast, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, medicine, Human body tissues, skin and connective tissue diseases, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Physics, 020206 networking & telecommunications, medicine.disease, 020601 biomedical engineering, Detection, Microwave imaging, Antenna, Antenna (radio), Microwave, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Biomedical engineering
Abstract

International audience; Microwave imaging is recognized as a potential candidate for biomedical applications, such as breast cancer detection. In this context a miniature antenna is used for quantitative imaging of inhomogeneous tissues. Microwave breast imaging (MBI) uses low power and longer wavelength signals to obtain information about breast tissues, and promises a safer and more accurate modality for regular breast scanning. This paper presents a miniature microstrip antenna that can be placed in contact with the breast model to investigate the presence of malignant tissues. A miniature antenna has been designed, and placed toward a breast phantom model with inhomogeneous tissues. Images are successfully obtained by using scattering electromagnetic waves (S11) from the designed model. The antenna was then manufactured and tested.In this paper the design of a miniature antenna for microwave imaging has been presented. This antenna aims to overcome the limitation of the conventional solutions by detecting breast tumors regardless its evolution stages. The simulation results show that the response of the antenna is affected in terms of frequency and return loss when it’s implanted on the heterogeneous model. Indeed, comparing to the normal breast model simulated response, the frequency was down shifted of around 100 MHz and the S11 parameter was improved. The antenna has been fabricated using plexyglass substrate and the measured results confirm the resonance frequency shift from 2.63 GHz to 2.54 GHz and the S11 improvement from -12 dB to -18 dB These results are respectively obtained when the antenna is implemented on two different mediums: clean serum representing a human body with absence of tumor and serum with steel balls representing human body with presence of tumor. After this first proof-of-concept, it’s intended to design the antenna using a flexible substrate and to perform real tests using samples representing tumors in human body which would be given by the research team of CHRU (Centre Hospitalier Régional et Universitaire de Brest) in Brest - France.

Published
2015

42. Déphaseur 360° compact large-bande

Author

Khoder, Khaled, Roy, Marc Le, Lababidi, Mohamad-Raafat, Pérennec, André, Lab-STICC_UBO_MOM_DIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Université de Brest (UBO), Lab-STICC_ENSTAB_CACS_COM, INP Bordeaux, and Billon-Coat, Annick

Subjects
Varactors, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Polarisation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Cet article présente un déphaseur analogique 0-360 ° à variation continue de phase dans la bande 6,7 GHz - 7,7 GHz. La variation en phase est assurée par des varactors. La topologie de la cellule élémentaire est particulièrement simple et compacte. Les 360 ° sont atteints avec seulement deux cellules avec un minimum de composants pour assurer la polarisation. Le démonstrateur hybride présente des pertes d'insertion de 2,9 dB ± 1,3 dB, une adaptation meilleure que 9,4 dB, un déphasage différentiel de platitude ± 11 ° et un Facteur de Mérite de 90,5 °/ dB. ConclusionUn déphaseur analogique 360 ° compact, simple, large bande et présentant un très bon FdM a été présenté dans ce papier. Pour cette topologie, le compromis largeur de bande/FdM/platitude/compacité est particulièrement remarquable. De plus, ce déphaseur est potentiellement intégrable et une configuration entièrement localisée est à l’étude. La topologie est présentée dans une configuration basique et ses performances globales pourront être améliorées par l’évolution de la topologie de base et/ou par l’utilisation de charges complexes [3][10]-[12], proches de celles utilisées pour améliorer la cellule RTPS, à la place de simples varactors.

Published
2015

43. Automatic modulation recognition of MPSK signals using constellation rotation and its 4th order cumulant

Author

Maciej Pedzisz, Ali Mansour, Ensta Bretagne, Stic Rems, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CACS_COM, Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Mansour, Ali, Extraction et Exploitation de l'Information en Environnements Incertains (E3I2), and École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)

Subjects
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Higher-order statistics, 02 engineering and technology, symbols.namesake, Signal classification, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Cumulant, Fourier series, ComputingMilieux_MISCELLANEOUS, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Constellation, Mathematics, business.industry, Applied Mathematics, 020206 networking & telecommunications, Pattern recognition, Computational Theory and Mathematics, Gaussian noise, Signal Processing, symbols, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, Statistics, Probability and Uncertainty, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Classifier (UML), Suggested algorithm
Abstract

International audience; We derive and analyze a new pattern recognition approach for automatic modulation recognition of MPSK (2, 4, and 8) signals in broad-band Gaussian noise. Presented method is based on constellation rotation of the received symbols, and a 4th order cumulate of a 1D distribution of the signal's in-phase component. Using Fourier series expansion of this cumulate as a function of the rotation angle, we extract invariant features which are then used in a neural classifier. Discrimination power of the pro- posed set of features is verified through extensive simulations, and the performance of the suggested algorithm is compared to tie maximum-likelihood (ML) classifiers. Corresponding results show that our technique is comparable to the coherent ML classifier and outperforms the non-coherent pseudo- ML method for all considered signal-to-noise ratio (SNR) without the computational overhead of the latter.

Published
2005
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44. Blind multiuser separation of instantaneous mixture algorithm based on geometrical concepts

Author

Ali Mansour, Carlos G. Puntonet, Noboru Ohnishi, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Biological Information Engineering Laboratory, Nagoya University, Depart of Computer Science, University of Granada [Granada], and Ensta Bretagne, Stic Rems

Subjects
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Probability density function, 02 engineering and technology, Blind signal separation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Source separation, Electrical and Electronic Engineering, Decorrelation, ComputingMilieux_MISCELLANEOUS, SIMPLE algorithm, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics, computer.programming_language, Signal processing, 020206 networking & telecommunications, Pascal (programming language), Control and Systems Engineering, Signal Processing, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, computer, Software, Cholesky decomposition
Abstract

International audience; In this paper, we propose a new and simple algorithm for blind separation of sources based on geometrical concepts. This algorithm deals with the instantaneous mixtures and does not require the estimation of high-order statistics (HOS). The proposed algorithm can separate sources that belong to two different categories: 1- Signals with uniform or close to uniform probability density function (PDF). 2- Unimodal PDF (including Pascal and Gamma) as well as some real signals such as speech or music. Unfortunately, the actual version of the algorithm cannot deal with the mixing of signals from both categories. Finally, the experimental results show good performances and that the separation can be carried out in a very short time (a few seconds, using Matematica as the programming language and our ultra 30 Sun station).

Published
2002
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45. The fusion of digital terrain models measured from multiple acoustic sensors – Application to the DAURADE autonomous underwater vehicle

Author

Ridha Fezzani, Benoit Zerr, Michel Legris, Ali MANSOUR, Yann Dupas, Lab-STICC_ENSTAB_CID_SFIIS, OSM, Département STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Service Hydrographique et Océanographique de la Marine (SHOM), and Ministère de la Défense

Subjects
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], fusion, seafloor, multibeam, bathymetry, interferometric sidescan, AUV, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Building an accurate digital terrain model (DTM) of the seabed is a key issue for various military and civilian hydrographers applications.In the past decades, the emergence of autonomous underwater vehicles (AUV) offers new methodologies to collect the bathymetric data used in the estimation of the DTM. In our study, we use the DAURADE AUV platform which is capable of acquiring bathymetry with two acoustic sensors: A multibeam echo sounder (MBES) and an interferometric sidescan sonar (ISSS). The two sensors (MBES and ISSS) are synchronized to operate concurrently. In fact, the final DTM can be improved by performing a fusion of the data; the two systems acquire the bathymetry with different resolutions, geometries and error models; these parameters are introduced in the fusion process to improve the estimation of the DTM and to increase its accuracy.The aim of this paper is to describe the fusion method and discuss our simulated results. First, the modeling of two acoustic sensors (MBES and ISSS) will be briefly described. The input data sets are simulated by applying the sensor models on simplified seabed models. The use of seabed models provides ground truth and, therefore, allows for quantifying the accuracy of the fusion process.

Published
2014

46. Comparative Study of Spectrum Sensing methods

Author

Abbass Nasser, Ali MANSOUR, Hussein Charara, Mohamad Chaitou, Koffi Clément Yao, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Lab-STICC_UBO_CACS_COM, Lebanese University and the National Council for Scientific Research, and Billon-Coat, Annick

Subjects
Cooperative techniques, Blind techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Cognitive Radio, Spectrum Sensing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

International audience; Cognitive Radio (CR) was introduced by Mitola in [1], in order to improve the distribution of the frequencyspectrum to satisfy the growing evolution in wireless applications. Therefore, the major goal of CR is toidentify the non-presence of Primary User (PU) which has the legal right of transmission [1] [2]. In case ofabsence of PU, the CR can allocate the unused band to a Secondary User (SU). The SU should stop histransmission if PU starts to be active, in order to avoid any interference. In fact, many techniques have beenintroduced in order to estimate the opportunity of free bandwidth; those techniques could be classified as:Blind and Cooperative. The cooperative techniques need a priori information about the PU to do the sensingof the channel, while the blind techniques do not.

Published
2014

47. Blind estimation of statistical properties of non-stationary random variables

Author

Raed Mesleh, El-Hadi M. Aggoune, Ali Mansour, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Sensor Networks & Cellular Systems (SNCS), University of Tabuk, and Electrical Depart.

Subjects
Characteristic functions, Cumulative distribution function, Cumulants, Wireless communication, Dynamic transmission channel, Estimator, Higher-order statistics, Probability density function, Probability and statistics, Non-stationary signals, Transmission (telecommunications), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Statistics, Hermite basis set, Kernel density estimators, Random variable, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Spline functions, Communication channel, Mathematics
Abstract

International audience; To identify or equalize wireless transmission channels, or alternatively to evaluate the performance of many wireless communication algorithms, coefficients or statistical properties of the used transmission channels are often assumed to be known or can be estimated at the receiver end. For most of the proposed algorithms, the knowledge of transmission channel statistical properties is essential to detect signals and retrieve data. To the best of our knowledge, most proposed approaches assume that transmission channels are static and can be modeled by stationary random variables (uniform, Gaussian, exponential,Weilbul, Rayleigh, etc.). In the majority of sensor networks or cellular systems applications, transmitters and/or receivers are in motion. Therefore, the validity of static transmission channels and the underlying assumptions may not be valid. In this case, coefficients and statistical properties change and therefore the stationary model falls short of making an accurate representation. In order to estimate the statistical properties (represented by the high-order statistics and probability density function, PDF) of dynamic channels, we firstly assume that the dynamic channels can be modeled by short-term stationary but long-term non-stationary random variable (RV), i.e., the RVs are stationary within unknown successive periods but they may suddenly change their statistical properties between two successive periods. Therefore, this manuscript proposes an algorithm to detect the transition phases of non-stationary random variables and introduces an indicator based on high-order statistics for non-stationary transmission which can be used to alter channel properties and initiate the estimation process. Additionally, PDF estimators based on kernel functions are also developed. The first part of the manuscript provides a brief introduction for unbiased estimators of the second and fourth-order cumulants. Then, the non-stationary indicators are formulated. Finally, simulation results are presented and conclusions are derived.

Published
2014
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48. A mutually referenced blind multiuser separation of convolutive mixture algorithm

Author

Ali MANSOUR, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Ensta Bretagne, Stic Rems, and Mansour, Ali

Subjects
Sylvester matrix, 0209 industrial biotechnology, Signal processing, Adaptive algorithm, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, System identification, 020206 networking & telecommunications, 02 engineering and technology, 020901 industrial engineering & automation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Control and Systems Engineering, Conjugate gradient method, Signal Processing, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Conjugate residual method, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, ComputingMilieux_MISCELLANEOUS, Software, Subspace topology, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics
Abstract

International audience; Ali MANSOUR Bio-Mimetic Control Research Center (RIKEN), 2271-130, Anagahora, Shimoshidami, Moriyama-ku, Nagoya 463-0003 (JAPAN). Abstract In this paper, we present a new subspace adaptive algorithm for the blind separation problem of a convolutive mixture. The major advantage of such an algorithm is that almost all the unknown parameters of the inverse channel can be estimated using only second-order statistics. In fact, a subspace approach was used to transform the convolutive mixture into an instantaneous mixture using a criterion of second-order statistics. It is known that the convergence of subspace algorithms is in general, very slow. To improve the convergence speed of our algorithm, a conjugate gradient method was used to minimize the subspace criterion. The experimental results show that the convergence of our algorithm is improved due to the use of the conjugate gradient method.

Published
2001
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49. Multichannel blind separation of sources algorithm based on cross-cumulant and the Levenberg-Marquardt method

Author

Noboru Ohnishi, Ali Mansour, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Biological Information Engineering Laboratory, Nagoya University, and Mansour, Ali

Subjects
Signal processing, Stationary process, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, 020206 networking & telecommunications, Higher-order statistics, 02 engineering and technology, Levenberg–Marquardt algorithm, Error function, symbols.namesake, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Signal Processing, Jacobian matrix and determinant, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Minification, Electrical and Electronic Engineering, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, Cumulant, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Mathematics
Abstract

International audience; The algorithms of blind separation of sources, in the general case and for instantaneous mixtures, are based on high-order statistics; most of them use the fourth-order statistics. For an instantaneous mixture of only two sources, we proposed in {mansour-ieee-95} an algorithm of blind separation of sources. The separation was achieved by minimizing the cross-cumulant (2x2) of the two output signals. The minimization of that cross-cumulant was achieved using a gradient algorithm. In this paper, we derive a new cost function which is more general than the first one, also based on the cross-cumulant (2x2) of the output signals. This new algorithm deals with Multiple Inputs and Multiple Outputs (MIMO) and uses a Levenberg-Marquardt method for the minimization of the cost function. The actual algorithm is very fast; the criterion convergence is attained in less than 50 iterations. In addition, it yields good results even in the case of about 300 signal samples. Good experimental results were obtained even with five stationary signals.

Published
1999
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50. Efficient spectrum sensing approaches based on waveform detection

Author

Mohamad Chaitou, Hussein Charara, Koffi Clément Yao, Ali Mansour, Abbass Nasser, Billon-Coat, Annick, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, Département Réseaux et Services de Télécommunications (RST), and Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)

Subjects
Engineering, Licensed spectrum, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], business.industry, Real-time computing, Bandwidth (signal processing), 020206 networking & telecommunications, 02 engineering and technology, Cognitive Radio, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Waveform Detection, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Radio transmission, Cognitive radio, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Waveform, 020201 artificial intelligence & image processing, Spectrum Sensing, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, License, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Spectrum Sensing is widely used in smart or cognitiveradio transmission system in order to allocate unusedbandwidth by a primary user to a secondary user. The allocationscheme depends on determining a threshold reflecting theexistence or not of the primary user. This manuscript deals withthis problem by proposing two major contributions: the first oneis a novel mechanism to calculate the threshold based on a knowndistribution of the correlation function between the pilot and thereceived signal. Our main finding is that the threshold couldbe, in some circumstances, independent from the SNR whichrelieves the detector from processing threshold updates in casewhen the SNR frequently varies. In the second contribution weuse the Waveform technique in order to detect the existing or notof Primary user signals while a secondary user is transmittingwithout interrupting the detection mechanism of the primaryuser. Contrary to existing methods, which require a silence periodof secondary users in order to sense the activity of the primaryuser, our approach does not need this period which enhances thetotal transmission rate.Our simulation results corroborate the two proposed approaches.Simulation results are presented and discussed.

Published
2014

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