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GMTI from multichannel SAR images using compressed sensing

 
: Prünte, L.

Verband der Elektrotechnik, Elektronik, Informationstechnik -VDE-; Informationstechnische Gesellschaft -ITG-:
EUSAR 2012, 9th European Conference on Synthetic Aperture Radar. CD-ROM : 23 - 26 April 2012, Nürnberg, Germany
Berlin: VDE-Verlag, 2012
ISBN: 978-3-8007-3404-7
S.199-202
European Conference on Synthetic Aperture Radar (EUSAR) <9, 2012, Nürnberg>
Englisch
Konferenzbeitrag
Fraunhofer FHR

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-249719.html