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This paper derives a signal processing method based on compressed sensing (CS) for multi-channel high-resolution wide-swath (HRWS) synthetic aperture radars (SARs) and discusses the applicability of CS for reconstructing the SAR image from undersampled SAR signals. The performance of the proposed CS reconstruction method is investigated for an exemplary HRWS SAR system and compared with the imaging performances achieved with conventional processing methods

The first step of ground moving target indication is the differentiation between moving and nonmoving objects. Using sparsity based methods for this purpose is often constrained by the nonsparse characteristic of the nonmoving clutter. In this paper we present a new approach for moving target indication based on distributed compressed sensing, a variant of the well known compressed sensing, thus allowing nonsparse background data

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