AN EFFICIENT RADAR SIGNAL DENOISING FOR TARGET DETECTION USING EXTENDED KALMAN FILTER

摘要

Nowadays target detection and tracking play a vital role in the field of aeronautical, spacecraft, wild area, Marine Corps, underwater scenario and so on. In the target detection, Radio Detection and Ranging (RADAR) signal is transmitted and the reflected signal has status of target information. In this paper the performance of radar signal generation and radar target detection (RTD) models simulated using MATLAB Simulink is discussed. The implementation of Extended Kalman Filter (EKF) using Register Transfer Level (RTL) Verilog- Hardware Description Language (HDL) and their analysis using for the Field Programmable Gate Array (FPGA) implementation in Xilinx tool and the Applications Specific Integrated Circuit (ASIC) implementation in cadence encounter tool with 180nm and 45nm library technologies are also presented in this paper. The Root Mean Square Error (RMSE) and Signal-to-Noise Ratio (SNR) values are evaluated by using MATLAB Simulink. On FPGA analysis, LUT, slices, flip flops, frequency and ASIC implementation area, power, delay, Area Power Product (APP), Area Delay Product (ADP) is improved in proposed EKF-RTD method than conventional methods.