Authors : Jami Venkata Suman and J. Beatrice Seventline
Abstract: Target detection and tracking play a very foremost role in space and underwater scenario. In this study, we presented a Least Mean Square filter based Radar Target Detection (LMS-RTD) Model is proposed to de-noising of pulse radar transmitted signal. In target detection, Radio Frequency (RF) energy is transmitted to and reflected from the reflecting object which has target status information. Signal generation and target detection of radar model is designed and simulated using MATLAB 2017a Simulink. Study of performance analysis of adaptive LMS filter using barker codes, combined barker codes, different binary chaotic sequences is also presented in this study. Implementation of an adaptive LMS filter using Verilog HDL and its analyses using Xilinx FPGA tool. On FPGA analysis, parameters such as total number of used LUT�s and flips flops are reduced in the proposed adaptive LMS filter and improve the hardware and circuit computational complexity as compared with other existing methods.
Jami Venkata Suman and J. Beatrice Seventline, 2018. Performance Analysis of LMS Filter Using Chaotic and Barker Codes for Radar Target Detection. Journal of Engineering and Applied Sciences, 13: 1537-1543.