Dlsla 3-d sar imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization
文献类型：期刊论文
| 作者 | Bao, Qian1,2; Han, Kuoye3; Peng, Xueming4; Hong, Wen1; Zhang, Bingchen1; Tan, Weixian5 |
| 刊名 | Science china-information sciences
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 59期号:6页码:15 |
| 关键词 | Atomic norm minimization Dlsla 3-d sar Sparse recovery Off-grid targets Pseudo-pfa 3-d imaging |
| ISSN号 | 1674-733X |
| DOI | 10.1007/s11432-015-5477-5 |
| 通讯作者 | Bao, qian(baoqiancherry@163.com) |
| 英文摘要 | This paper concerns the imaging problem for downward looking sparse linear array three-dimensional synthetic aperture radar (dlsla 3-d sar) under the circumstance of sparse and non-uniform cross-track dimensional virtual phase centers configuration. since the 3-d imaging scene behaves typical sparsity in a certain domain, sparse recovery approaches hold the potential to achieve a better reconstruction performance. however, most of the existing compressive sensing (cs) algorithms assume the scatterers located on the pre-discretized grids, which is often violated by the off-grid effect. by contrast, atomic norm minimization (anm) deals with sparse recovery problem directly on continuous space instead of discrete grids. this paper firstly analyzes the off-grid effect in dlsla 3-d sar sparse image reconstruction, and then introduces an imaging method applied to off-gird targets reconstruction which combines 3-d pseudo-polar formatting algorithm (pseudo-pfa) with anm. with the proposed method, wave propagation and along-track image reconstruction are operated with pseudo-pfa, then the cross-track reconstruction is implemented with semidefinite programming (sdp) based on the anm model. the proposed method holds the advantage of avoiding the off-grid effect and managing to locate the off-grid targets to accurate locations in different imaging scenes. the performance of the proposed method is verified and evaluated by the 3-d image reconstruction of different scenes, i.e., point targets and distributed scene. |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Information Systems |
| 语种 | 英语 |
| WOS记录号 | WOS:000380102700017 |
| 出版者 | SCIENCE PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374519 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Bao, Qian |
| 作者单位 | 1.Chinese Acad Sci IECAS, Inst Elect, Sci & Technol Microwave Imaging Lab MITL, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Elect & Commun Engn, Beijing 100190, Peoples R China 3.Information Sci Acad China Elect Technol Grp Corp, Informat Syst Technol Inst, Beijing 100086, Peoples R China 4.Carestream Hlth Inc, Global RD Ctr Shanghai, Shanghai 200090, Peoples R China 5.Inner Mongolia Univ Technol, Coll Informat Engn, Hohhot 010051, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bao, Qian,Han, Kuoye,Peng, Xueming,et al. Dlsla 3-d sar imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization[J]. Science china-information sciences,2016,59(6):15. |
| APA | Bao, Qian,Han, Kuoye,Peng, Xueming,Hong, Wen,Zhang, Bingchen,&Tan, Weixian.(2016).Dlsla 3-d sar imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization.Science china-information sciences,59(6),15. |
| MLA | Bao, Qian,et al."Dlsla 3-d sar imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization".Science china-information sciences 59.6(2016):15. |
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来源：中国科学院大学
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