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Arithmetic logic unit (ALU), a core component of a processor, is one of the thrust areas of the current research. Presently, ALU is designed by transistor-based CMOS technique and its individual components are placed in different layers. The current design is affected by the limitations of Moore’s law and design complexity. At present, ‘Quantum cellular automata electro-spin (QCA-ES)’ technology is widely accepted technology as an alternative of ‘CMOS’ to minimize the above discussed problems. In this research paper, the design of a novel multilayer portable, dynamic, fault-tolerant, power-efficient, thermally stable reversible ALU is proposed which is explored through QCA-ES. All the arithmetic and logical components of ALU are separately placed in different layers. Area density, delay, fault tolerance and thermal stability are investigated. A specific type of gate, known as reversible gate (modified 3:3 ‘TSG’ gate), is used in this proposed design with QCA technology to get the optimized design ALU with low occupied area, complexity, delay and power dissipation. Investigation of a fault-free design and saturated amplitude level (of output) change with respect to temperature increment in the proposed device are also discussed in this paper. Not only the thermal stability (up to 6 k temperature) but also an investigation on cell complexity of the 100% fault-free (against multiple cell-omission, cell-displacement, cell-orientation change and extra cell deposition), multilayer nano-device is represented in this work. ‘QCA-Designer’ software is used in this research work to design and develop layout of the proposed components in quantum-field and find out the occupied area, delay and complexity of proposed design. ‘QCA-Pro’ software is used for getting the value of dissipated power.

An Ultra Wide Band (UWB) bandpass filter (BPF) including defected ground structure (DGS) has been developed in this work. Two different simulations have been utilized to design the required filter. Simulation results of software on filter performance have been compared to come into a conclusion. Return loss exceeds 10 dB and the insertion loss falls less than 1.3 dB everywhere in between 3.04 and 10.6 GHz. This filter can find applications in indoor and outdoor communications for the use of radar technology, remote sensing, cancer detection, patient monitoring system, etc.

In this paper MTI filter based clutter rejection technique is presented. How clutter rejection ability increases with the increase in Delay line canceleres in the MTI filter structure is shown here. Feedback path increases the response of a MTI filter and using feedback path four different types of MTI recursive filters are designed and tested for Radar clutter rejection. Matlab (7.9) is used as the simulation platform.

This paper deals with application of Artificial Neural Network (ANN) for Radar Clutter rejection, function approximation method of supervised ANN is applied here using back propagation algorithm. The database used for training and testing the ANN has been collected from simulating a moving vehicle in MATALAB(version 7.9) to obtain the RCS values at range and cross-range profiles. This work is validated by comparing received signal after clutter rejection with the received signal in no clutter condition.

In recent days, the intelligent transportation system (ITS) become one of the major thrust areas in the field of electronics and communication engineering. Here an architecture of multi-channel cognitive radio (CR) has been proposed to encounter the challenges in ITS. Spectrum sensing, decision and data fusion are the three major activities performed by the CR. A novel model, using dynamic Bayesian network (DBN), for data fusion is developed and presented in this paper. Three types of sensor data, GPS, local radar and gyroscopic data are considered for fusion to provide accurate online measurements to avoid collision in road traffic scenarios.

This paper deals with the implementation of data fusion technique viz. Kalman Filter in the estimation of a precise value for a set of data taken from sensors measuring various environmental aspects such as temperature, humidity and atmospheric pressure. Current research work going in this field is also discussed in brief, as well as their limitations.

The principal objective of this paper is to encounter the safety related challenges in intelligent transportation system (ITS). The detection of nearby vehicle is an important task for the radar that is used for safety application in ITS. But the received signal, contains the target information, is corrupted by clutter. This is an important issue in out door radar detection. Thus in this paper a novel method, based on STAP, has been proposed to address this issue. The mathematical modelling of non-homogeneous clutter is also presented here. The proposed methodology has been validated with help of a case study in a utopian vehicular safety scenario.

Principal objective of this paper is to form the ISAR image of a complex target using 76GHz long range radar (LRR). Modeling of point target is done and the idea is extended to model a complex target (vehicle). Simulation is performed in MATLAB platform. The sample points are generated using Graphical User Interface (GUI) of MATLAB. These sample points are processed using Nearest Neighbor Approximation interpolation technique. This ISAR imaging can be used for object classification and will be applicable to intelligent transportation systems (ITS) for adaptive cruise control (ACC) and hence to avoid collision.