Current Classic Synthetic Aperture Radar (SAR) Imaging Algorithms

Resource Overview

The current classic SAR imaging algorithms include: Range Doppler (RD), Chirp Scaling (CS), and Range Migration Algorithm (RMA). The attached archive contains MATLAB implementations of these three algorithms, featuring practical code implementations with functions demonstrating key processing steps like matched filtering, phase compensation, and Stolt interpolation, which are highly valuable for beginners in radar signal processing.

Detailed Documentation

The synthetic aperture radar imaging algorithms discussed include RD, CS, and RMA. These algorithms represent fundamental approaches in modern SAR processing, where RD algorithm performs range compression followed by azimuth compression using Doppler processing, CS algorithm simplifies range cell migration correction through chirp scaling operations, and RMA handles precise phase compensation via Stolt interpolation for high-precision imaging. Mastering these algorithms is particularly beneficial for beginners. The compressed archive contains MATLAB code implementations for all three algorithms, providing practical examples of signal processing chains including pulse compression, phase correction, and image formation techniques that will offer substantial assistance in understanding SAR implementation.