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Simultaneous localization and mapping is very essential for autonomous navigation when the mobile robot is navigating in unknown environment without a global positioning system. Various techniques to solve the simultaneous localization and mapping problem have been extensively studied using the combination of low-cost sensors. Most of the work in mobile robotics still consists of finding solutions to problems in data exchange between mobile robot and communication control station, which is a challenging task. In fact, communication systems impose severe constraints in terms of channel capacity and transmission quality, because the transmission channel in communication systems is undergoing at the different physical phenomena like scattering, diffusion and diffraction, which occur interference and multiple path effects in wireless communications, while keeping these effects levels low. This article describes a simultaneous localization and mapping problem based on second-order smooth variable structure filter embedded in mobile robot equipped with a sensor for data wireless collection. The inclusion of the control in environments outside the mobile robot field of view can make the wireless communication simultaneous localization and mapping process much more difficult to find a solution under realistic conditions. In order to solve the simultaneous localization and mapping issue and to mitigate the fading phenomena, which affect the quality of service in advanced wireless communication systems, we use a new approach to combat the fading effect without requiring any statistical knowledge of the propagation channel parameters. Several experiments have been done in real-world applications, and good performances were obtained using a second-order smooth variable structure filter–simultaneous localization and mapping algorithm–based wireless communication. [ABSTRACT FROM AUTHOR]

This letter presents a proportional adaptive technique to mitigate the multipath fading effect in advanced wireless communication systems. The designed system consists of a realized ultra‐wideband (UWB) dual antenna array and two universal software radio peripheral (USRP) platforms synchronized by a MIMO cable, with one digital RF phase shifter implemented in the reception chain of one of the two receiving antennas. Without requiring any statistical knowledge channel, the proposed approach adjusts the phase shifter in order to maximize the combined received power proportionally to the amplitude of its gradient. The used antennas operate in different frequencies in the fifth‐generation (Sub‐6 GHz 5G) wireless communication applications. The proposed algorithm has been implemented on a USRP that has been used to carry out experimental measurements on fixed and mobile receiving antennas, and it is compared with other approaches. The measurements reveal, that using the amplitude of the gradient of the received power rather than its sign, as it is proposed in the initial on‐off algorithm presented in a previous published work, allows achieving better performance in combatting fading. The phase adjustment with the proposed algorithm is more efficient than in the other approaches allowing a better reception of the received signal with a higher received power level. The measured performances indicate that gain improvement of 8 to 10 dB can be achieved by using the proportional adaptive technique. [ABSTRACT FROM AUTHOR]

Summary: This paper presents a new efficient and lightweight approach for enhancing the security of biometric models, namely, fingerprint templates, against possible attacks. The proposed design is based on Vernam stream cipher in which the key generator is designed in the hardware manner. The designed cryptosystem consists of using multi‐scroll chaotic system that is characterized by a large key space and can be generated N×N grid multi‐scroll attractors, with a good behavior of chaotic dynamic. The hardware approach is carried out through describing Euler method by VHDL. Field‐programmable gate array (FPGA) experimental results validate the developed architecture while still providing a good compromise between hardware resources and performance. Indeed, security analysis also shows that the designed encryption algorithm is robust against statistical, brute force, and entropy attacks. Therefore, it can be considered as a lightweight security solution, which could be very useful in many embedded applications namely securing biometric authentication systems. [ABSTRACT FROM AUTHOR]