Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Compressive sensing techniques applied to multilook ISAR images
 Rohling, H. ; Institute of Electrical and Electronics Engineers IEEE: 18th International Radar Symposium, IRS 2017 : 2830 June 2017, Prague Piscataway, NJ: IEEE, 2017 ISBN: 9783736993433 ISBN: 9781509043125 S.228237 
 International Radar Symposium (IRS) <18, 2017, Prague> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer FHR () 
Abstract
Classical ISAR imaging usually is based on the polar reformatting algorithm making use of the fast Fourier transform. If the observed aspect angle change is large enough, several partial segments can be processed separately, the resulting partial images can be summed incoherently to a multilook image with reduced noise and speckle level and exhibiting more details, since some parts of the objects can be seen only from certain aspect angles. In this paper we regard multilook ISAR imaging based on compressive sensing techniques. We use data obtained with a turn table, which is the standard method to determine two dimensional scattering centre distributions of a target under controlled conditions. A special implementation will be discussed using compressive sensing in the range domain, in which the object reflectivity will be naturally sparse. The reconstructed reflectivity in range allows to extend virtually the bandwidth leading to an improved resolution. Polar refor matting is applied in this algorithm to the extended bandwidthdata. Further, the migration of specular points over the viewing angle is analysed and serves as a model for blocksparse recovery. The processing is demonstrated at real turntable data obtained with the FMCW millimeter wave COBRA radar from Fraunhofer FHR.