SAR Raw Data and Its Range-Doppler Imaging Algorithm

This document provides detailed explanations of SAR raw data and its corresponding Range-Doppler (RD) imaging algorithm implemented in MATLAB. The SAR raw data contains rich information applicable to various application domains. We present a carefully designed MATLAB implementation of the RD imaging algorithm that efficiently processes SAR raw data to extract valuable feature information. The algorithm implementation includes key components such as range compression using matched filtering, azimuth compression through Doppler processing, and motion compensation techniques.

The MATLAB programs have been optimized and thoroughly tested to ensure accuracy and reliability. The code structure features modular design with separate functions for data preprocessing, phase history processing, and image formation. Key functions include range cell migration correction (RCMC), azimuth matched filtering, and image calibration routines. Researchers and engineers can utilize these datasets and algorithms to conduct various experiments and analyses, enabling them to meet specific research requirements and project objectives through customizable parameter settings and algorithm modifications.