Polar Format Algorithm Based Azimuth-Range Decouple for Sparse SAR Imaging

Abstract:
Sparse signal processing based synthetic aperture radar (SAR) imaging method can enhance the SAR images. To avoid the huge memory and computational costs, traditional matched filtering method based azimuth-range decouple operators are adopted. Polar format algorithm (PFA) can be used in spotlight SAR imaging. In this paper, we introduce PFA to sparse spotlight SAR imaging. In the iteration of sparse reconstruction, we use PFA based operators to substitute the measurement matrix and its transpose. The memory and computational costs are reduced. The SAR images are enhanced. Experimental results via real data verify the presented method.