Doppler Compensation Algorithm for Phase-Coded Pulse Compression Radar

This document provides a comprehensive overview of Doppler compensation algorithms for phase-coded pulse compression radar systems, along with methods for development and simulation using MATLAB. Phase-coded pulse compression radar represents a widely adopted technique in radar systems that enhances resolution capability and detection performance through sophisticated signal encoding and compression processes. The Doppler compensation algorithm specifically addresses the correction of Doppler frequency shift effects present in radar signals, effectively eliminating measurement errors caused by these frequency variations. Through MATLAB-based development and simulation, researchers can thoroughly analyze and validate the performance and feasibility of Doppler compensation algorithms for phase-coded pulse compression radar. The implementation typically involves key MATLAB functions such as pulse compression processing, Doppler frequency estimation using FFT-based methods, and phase compensation techniques applied to the matched filter. The simulation framework allows for testing various phase coding schemes (including Barker codes and polyphase codes) while evaluating compensation effectiveness under different target velocity scenarios. Algorithm validation includes performance metrics such as peak sidelobe level reduction, main lobe preservation, and signal-to-noise ratio improvement after Doppler compensation.