A Parameter-Adjusting Auto-Registration Overlapped Subaperture Algorithm for Video Synthetic Aperture Radar Imaging

Auto-registration video synthetic aperture radar (ViSAR), which requires real-time pixel index unifying and resolution matching, is of great significance due to its applicability in multiaspect observation and continuous monitoring. The phase error induced by the wavefront planar assumption, however, varies with different ViSAR frames, which limits the size of auto-registration imaging scene. To enlarge the auto-registration imaging swath, a parameter-adjusting auto-registration overlapped subaperture algorithm (PAAR-OSA) is proposed in this article. By collaboratively designing the subapertures within each frame and among different frames in the stabilized-scene coordinate and cooperatively compensating the phase error of all frames, auto-registration with larger imaging swath can be achieved. Both the point targets and distributed targets validation results verify the superiority of the proposed method compared with the existing algorithms.