Two-step Imaging Algorithm for Airborne Parallel High Squint SAR

A two-step imaging algorithm for focusing airborne parallel high squint Synthetic Aperture Radar (SAR) data is proposed in this paper. For the serious cross coupling of echo signal in bistatic high squint SAR, Linear Range Walk Correction (LRWC) is performed in range frequency-azimuth time domain to correct the large LRW induced by the high squint model of receiver and transmitter. A Modified Bistatic Point Target Reference Spectrum (MBPTRS) is derived, and residual Range Cell Migration (RCM) is corrected by Chirp Scaling (CS) method to get the focusing result. To solve the target position displacements in the focusing result, a method of target position correction that converts the focusing image to the ground plane is derived. Finally, the experimental results with simulated data validate the effectiveness of the proposed two-step imaging algorithm and the method of target position correction.