GMTI from multichannel SAR images using compressed sensing

The indication of ground moving targets (GMTI) from SAR-GMTI data is a well known problem in the processing of airborne or spaceborne radar data. A special case is the indication from several already processed synthetic aperture radar (SAR) images. In this paper we present a new approach for solving this problem based on compressed sensing - a new mathematical tool for processing sparse data. The number of simultaneously usable channels in this approach is unlimited, in contrast to most of the well established methods.