Compressive SAR and MSAR imaging with turbo shrinkage thresholding

Abstract:
SAR imaging using compressive sensing methods has been widely discussed in the literature. In this paper, we focus on the application of a recently developed compressive sensing (CS) method, turbo shrinkage-thresholding (TST), which is a refinement of algorithms of the type Iterative Shrinkage-Tresholding Algorithm (ISTA). It promises fast convergence and accurate results. We will demonstrate the SAR application of TST to measurements made with the airborne experimental radar (AER) system of Fraunhofer FHR, including extrapolation of the spectrum associated with finer resolution. In addition, we will investigate TST processing of multichannel SAR (MSAR) with subapertures along the track in a low PRF situation, which is a well-known method for obtaining highresolution wide-swath modes (HRWS).