Implementation and investigation of motion simulation and compensation for airborne synthetic aperture radar

This study investigates motion simulation and compensation techniques for airborne Synthetic Aperture Radar (SAR) to enhance imaging accuracy and quality. SAR utilizes platform motion to create a synthesized long aperture, improving azimuth resolution independently of frequency and distance. However, unexpected platform motion, such as from wind or turbulence, can introduce non-linear trajectory changes, causing Doppler frequency shifts that blur images. To address this, we simulate airborne motion trajectories under various conditions, including wind speed, direction, and sensor influence, and apply motion compensation algorithms like the Map Drift Algorithm (MDA)[1], Beam Center Motion Compensation (BC MoCo) [2], and Subaperture Topography and Aperture Dependent (SATA)[2]. This research simulates complex airborne environments, generating realistic low- and high-frequency disturbances to test compensation effectiveness across time and frequency domains.