MATLAB-Based Radar SAR Imaging Auto-Focusing Algorithm

This program implements a radar SAR (Synthetic Aperture Radar) imaging auto-focusing algorithm using MATLAB. It serves as an excellent educational resource for individuals studying radar signal processing, helping them better understand and master the principles and methods of radar imaging. Through this implementation, users can deeply explore the SAR imaging process, comprehend the underlying principles of auto-focusing algorithms, and learn how to implement these algorithms using MATLAB. The code demonstrates practical approaches to phase error correction, typically implementing algorithms like Phase Gradient Autofocus (PGA) or MapDrift, which are essential for removing spatially-variant phase errors in SAR imagery. The program includes key functions for signal processing operations such as range compression, azimuth processing, and phase error estimation. Users can examine how the algorithm iteratively refines phase corrections to achieve optimal image focus, observing the improvement in image quality metrics like impulse response width (IRW) and peak-to-sidelobe ratio (PSLR). Additionally, this implementation provides insights into the application domains of radar imaging technology and highlights its significance and widespread use in military, aerospace, and remote sensing applications. The code structure allows for experimentation with different radar parameters and scenarios, facilitating hands-on learning. Therefore, if you aim to deepen your understanding of radar imaging technology and auto-focusing algorithms, or wish to enhance your signal processing skills through practical implementation, this program will prove to be highly beneficial. The MATLAB code includes commented sections explaining each processing stage, making it suitable for both beginners and experienced practitioners in the field.