A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging
文献类型:期刊论文
作者 | Dong, Xiao; Zhang, Yunhua![]() |
刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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出版日期 | 2015 |
卷号 | 12期号:6页码:1237-1241 |
关键词 | 1-bit compressive sensing (CS) maximum a posteriori (MAP) sparsity synthetic aperture radar (SAR) |
ISSN号 | 1545-598X |
通讯作者 | Dong, X (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China. |
英文摘要 | In 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. |
收录类别 | SCI ; EI |
语种 | 英语 |
源URL | [http://ir.nssc.ac.cn/handle/122/4567] ![]() |
专题 | 国家空间科学中心_微波遥感部 |
推荐引用方式 GB/T 7714 | Dong, Xiao,Zhang, Yunhua. 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.(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. |
入库方式: OAI收割
来源:国家空间科学中心
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