An Azimuth Resampling based Imaging Algorithm for Highly Squinted Sliding Spotlight and TOPS SAR

摘要

This paper focuses on the data processing of highly squinted sliding spotlight and Terrain Observation by Progressive Scans (TOPS) SAR and a novel azimuth resampling based imaging algorithm is proposed. After performing linear range walk correction (LRWC), azimuth convolution pre-processing is then performed to reconstruct the signal spectrum. A key step is to perform azimuth resampling in the two-dimensional frequency domain to eliminate the azimuth-variation induced by LRWC. As such, the data can be focused by exploiting a conventional broadside SAR imaging algorithm. Simulation and real data results show the effectiveness of the proposed algorithm.