MATLAB Example Program for Pulse Compression Algorithm in Radar Signal Processing

In radar signal processing, pulse compression algorithm is a fundamental technique that enhances radar system resolution and target detection performance. The core principle involves compressing received wideband signals to concentrate target echoes in the time domain, making them more distinct and detectable for accurate target identification and localization. To facilitate better understanding of pulse compression algorithms, we provide a comprehensive MATLAB example program that demonstrates practical implementation in radar signal processing. This program allows users to execute and observe the complete pulse compression process, including signal generation, processing, and visualization of results. The code implementation incorporates key signal processing operations such as matched filtering and cross-correlation computations. The example program utilizes essential MATLAB signal processing functions and algorithms, including: - Matched filter design optimized for linear frequency modulated (LFM) signals - Cross-correlation operations for signal compression - Time-domain and frequency-domain analysis techniques Through the combination and optimization of these algorithms, the program effectively demonstrates pulse compression processing of radar signals, significantly improving system performance and measurement accuracy. This practical example serves as an educational resource for understanding radar signal processing fundamentals. The code includes detailed comments explaining each processing step, parameter configurations, and performance evaluation metrics. For any technical inquiries or requiring further clarification on implementation details, please feel free to contact us for additional support and documentation.