ISAR Motion Compensation and SAR Imaging Algorithms

This MATLAB source program implements algorithms for ISAR motion compensation and SAR imaging. The code provides comprehensive functionality for simulating and analyzing the complete process of inverse synthetic aperture radar (ISAR) motion compensation and synthetic aperture radar (SAR) imaging. Key implementations include range alignment algorithms for motion compensation, phase adjustment techniques, and image formation algorithms using back-projection or range-Doppler methods. The program offers useful utilities for data preprocessing, motion error correction, and image quality evaluation metrics. Researchers can utilize this codebase to conduct experiments on radar signal processing, test different compensation strategies, and analyze imaging performance under various scenarios. The implementation also incorporates optimized algorithms for improved computational efficiency and enhanced image resolution. Additional features include parameter configuration modules, visualization tools for intermediate processing results, and performance benchmarking capabilities. This MATLAB source serves as a valuable resource for advancing understanding and practical application of radar imaging technologies, enabling users to achieve better results in ISAR motion compensation and SAR imaging research.