Synthetic Aperture Radar Imaging of Sparse Targets via Compressed Sensing
Conference: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
06/07/2010 - 06/10/2010 at Aachen, Germany
Proceedings: EUSAR 2010
Pages: 4Language: englishTyp: PDF
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Authors:
Zhang, Bing-chen; Jiang, Hai; Hong, Wen; Wu, Yi-rong (The National Key Laboratory of Microwave Imaging Technology (MITL), PR China)
Zhang, Bing-chen; Jiang, Hai; Hong, Wen; Wu, Yi-rong (Institute of Electronics, Chinese Academy of Sciences (IECAS), Beijing, PR China)
Jiang, Hai (Graduate University of Chinese Academy of Sciences (GUCAS), Beijing, PR China)
Abstract:
Recent theory of compressed sensing (CS) can be used in synthetic aperture radar (SAR) imaging. In this paper, we first build an information theory model of SAR imaging via compressed sensing and make a detailed analysis of the minimal number of samples for exact reconstruction. With the analysis of the model, we find that in SAR imaging via compressed sensing, the distinguish ability depends on the information content of the target scene rather than the bandwidth of the transmit signal; we also get the relation among the SNR, the sparsity and the information content. The result of IECAS advanced scanning two-dimensional railway observation (ASTRO) data experiments agrees well with these theorems.