Publication Type : Conference Paper
Publisher : International Conference on Advances in Computing, Communications and Informatics (ICACCI).
Source : International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2018)
Url : https://ieeexplore.ieee.org/document/8554569
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : Devising target detection techniques for Multiple Input Multiple Output (MIMO) Radar systems is the main theme of this paper. A novel Particle Swarm Optimization algorithm based framework for superior target detection and grid localization for MIMO Radar is proposed. PSO algorithm finds effective utility in large signal spaces for multiple target detection and is easy to implement. The signal model characterizing the clutter and clutter-free environments are modelled. We adopt Orthogonal Matching Pursuit (OMP) algorithm as a benchmark for comparison. Mathematical interpretation of the OMP algorithm for multiple target detection is provided. Simulation results which prove the optimality of the proposed PSO approach are presented. The variation of Mean Squared Error (MSE) with Signal-to-Noise Ratio is used as a performance metric for analysis. Time complexity analyses of the PSO and OMP algorithms are also presented. The proposed approach is also extended for estimation of target characteristics.
Cite this Research Publication : K. Saravanamuthu and Dr. Ramanathan R., “A Particle Swarm Approach to Target Detection in MIMO Radar”, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.