Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

Resource Overview

This resource includes Mehrdad Soumekh's book "Synthetic Aperture Radar Signal Processing with MATLAB Algorithms" along with accompanying source code. The book provides comprehensive radar signal processing methodologies, while the implemented algorithms feature SAR imaging techniques including 1D range profiles, stripmap mode, and spotlight mode operations. The code serves as practical programming reference for professionals with foundational SAR knowledge, demonstrating key MATLAB functions for signal formatting, phase history processing, and image formation algorithms.

Detailed Documentation

This text references Mehrdad Soumekh's "Synthetic Aperture Radar Signal Processing with MATLAB Algorithms" and its accompanying source code. The book thoroughly explains radar signal processing methods, while the provided programs implement various SAR imaging algorithms including 1D range profiling, stripmap mode, and spotlight mode configurations. These materials serve as valuable programming references for professionals with basic SAR knowledge. Beyond these core elements, we can further explore radar signal processing applications in fields like remote sensing and military systems, supplemented with additional implementation examples and case studies. The discussion may include analyzing advantages and limitations of different SAR imaging algorithms, while introducing related research achievements and development trends. These supplementary contents aim to provide readers with comprehensive understanding and learning resources for radar signal processing, with practical insights into algorithm optimization techniques and MATLAB implementation approaches for phase correction, range migration compensation, and autofocus procedures.