TY  - JOUR
T1  - Performance Analysis of LMS Filter Using Chaotic and Barker Codes for
Radar Target Detection
AU - Venkata Suman, Jami AU - Beatrice Seventline, J. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1537
EP  - 1543
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1537.1543
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1537.1543
KW  - root mean square error
KW  -Xilinx FPGA ISE
KW  -adaptive LMS filter
KW  -MATLAB Simulink
KW  -barker codes
KW  -chaotic codes
KW  -target detection
KW  -Radar signal processing
KW  -signal to noise ratio
AB  - 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.
ER  -