SAR Echo Simulation and CS Algorithm Imaging

SAR (Synthetic Aperture Radar) is an advanced imaging technology that utilizes echo simulation and CS (Compressed Sensing) algorithms. By applying radar principles through transmitting and receiving microwave signals, SAR acquires ground target information and generates high-resolution radar images. Echo simulation techniques model scattering characteristics of targets at different positions and angles to achieve more accurate imaging results. The CS algorithm employs sampling and reconstruction techniques to restore high-resolution target images using significantly reduced data volumes. In implementation, echo simulation typically involves calculating radar cross-section models and phase histories through mathematical modeling, while CS algorithms leverage sparse signal recovery methods like orthogonal matching pursuit (OMP) or basis pursuit denoising. The recommended reference book "Principles of Synthetic Aperture Radar Imaging" provides comprehensive coverage of SAR technical fundamentals and practical applications, including signal processing workflows and image formation algorithms.