MATLAB Implementation of Linear Frequency Modulated Signal Pulse Compression for Synthetic Aperture Radar

Synthetic Aperture Radar (SAR) is a widely used radar system with extensive applications in geological exploration, ocean observation, military reconnaissance, and other fields. Among its core signal processing techniques, linear frequency modulated (LFM) signal pulse compression stands as one of the most commonly employed methods. The following MATLAB code implementation and technical discussion will introduce both the theoretical principles and practical implementation approaches for LFM signal pulse compression. This includes key algorithm components such as: - LFM signal generation with programmable bandwidth and pulse width parameters - Matched filter design for optimal signal-to-noise ratio improvement - Frequency domain convolution implementation using FFT operations for computational efficiency - Side lobe suppression techniques using windowing functions (Hamming, Hanning, etc.) The code demonstrates practical implementation aspects including: - Parameter configuration for radar system specifications - Time-domain and frequency-domain signal analysis - Compression ratio calculation and performance evaluation - Visualization of pulse compression results through ambiguity function plots This comprehensive explanation aims to help readers better understand and apply this critical signal processing technique in real-world SAR applications, providing insights into both theoretical foundations and practical MATLAB implementation considerations.