GMTI from Multichannel SAR Images using Compressed Sensing
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Prünte, Ludger (Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Germany)
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.