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

Inhalt:
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.