Advancing Real-Time SAR Imaging: Algorithms, Motion Compensation, and Interference Mitigation Strategies

Synthetic Aperture Radar (SAR) technology is vital in remote sensing, providing high-resolution imaging for airborne and satellite platforms. Real-time imaging remains challenging, with the Polar Format Algorithm (PFA) struggling to meet processing demands. Recent advancements, such as multi-DSP architecture systems and sub-aperture PFA algorithms, show promise in reducing imaging time. Challenges persist, including motion errors in long synthetic aperture times and radio frequency interference (RFI) in spaceborne SAR. While methods like inverse SAR (ISAR) and enhanced interference extraction exist, consistent high-resolution imaging across SAR modes is elusive. This research topic aims to enhance SAR systems' computational efficiency and imaging quality. Topic editors: Junling Wang, Sheng Chang, Lizhi Zhao Source: https://www.frontiersin.org/research-topics/82484/advancing-real-time-sar-imaging-algorithms-motion-compensation-and-interference-mitigation-strategies