Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets

During the spaceborne ISAL (Inverse Synthetic Aperture Ladar) imaging, radial velocity between piggyback satellite of ladar and observed is usually relatively large, which will introduce inner-pulse Doppler that cannot be ignored in echo. In this case, traditional “stop-and-go” assumption no longer hold, compressed result along range direction would seriously broaden. Therefore, to obtain a well-focused image, paper proposed imaging algorithm for high-speed moving targets based on compensation RVP (Residue Video Phase) correction. paper, estimate method velocity, correction are given. After compensation, translational motion range-compressed under can obtained, target then imaged by algorithm. The simulation results demonstrate effectiveness