Circular SAR imaging algorithm based on polar format algorithm for moving target

Abstract

For stationary targets, circular synthetic aperture radar (CSAR) imaging has tended to be mature and perfect. However, for moving targets, due to the long synthetic aperture and the variation of slant plane with the observation angle, the motion compensation is more complicated and has no effective approach. Based on the latest moving target trajectory reconstruction method in CSAR (2015), the polar format algorithm can be improved to image the moving targets when the motion parameters have been estimated. First, the authors placed the imaging reference point on the target to track it, and then compensated for the phase error caused by the incident angle changing and the wavefront curvature. The simulation results of point show that the algorithm is effective and accurate.

Keywords

• synthetic aperture radar
• image reconstruction
• radar imaging
• motion compensation
• imaging reference point
• circular SAR imaging algorithm
• polar format algorithm
• stationary targets
• circular synthetic aperture radar imaging
• CSAR
• moving targets
• long synthetic aperture
• slant plane
• observation angle
• motion compensation
• latest moving target trajectory reconstruction method
• motion parameters