GMTI from Multichannel SAR Images using Compressed Sensing

Konferenz: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
23.04.2012 - 26.04.2012 in Nuremberg, Germany

Tagungsband: EUSAR 2012

Seiten: 4Sprache: EnglischTyp: PDF

Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt

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.