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A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging
Dong, Xiao; Zhang, Yunhua; Dong, X (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Department微波遥感部
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2015
Volume12Issue:6Pages:1237-1241
ISSN1545-598X
Language英语
Keyword1-bit Compressive Sensing (Cs) Maximum a Posteriori (Map) Sparsity Synthetic Aperture Radar (Sar)
AbstractIn this letter, we propose a compressive sensing approach for synthetic aperture radar (SAR) imaging of sparse scenes with 1-bit-quantized data. Within the framework of maximum a posteriori estimation, we formulate the SAR image reconstruction problem as a sparse optimization problem and then solve it using a first-order primal-dual algorithm. The processing results of both simulated and real radar data show that our approach can eliminate the ghost target caused by 1-bit quantization in high signal-to-noise ratio situations and suppress the noisy background very well.
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4567
Collection微波遥感部
Corresponding AuthorDong, X (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Dong, Xiao,Zhang, Yunhua,Dong, X . A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(6):1237-1241.
APA Dong, Xiao,Zhang, Yunhua,&Dong, X .(2015).A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(6),1237-1241.
MLA Dong, Xiao,et al."A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.6(2015):1237-1241.
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