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Unique Decomposition and a New Model for the Ground Moving Target Indication Problem
Li, Qingna1; He, Li2; Qi, Lijuan3; Wang, Robert4
2017-04-01
发表期刊JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
ISSN0022-3239
卷号173期号:1页码:297-312
摘要In wide-area surveillance radar systems, ground moving target indication is the main task. The underlying mathematical problem is to decompose a complex matrix into a low rank matrix and a structured sparse matrix. In this paper, we show that such decomposition has a unique solution under reasonable assumptions. We propose a phase-based model to fully describe the special sparse structure. An alternating direction method of multipliers is implemented to solve the resulting nonconvex complex matrix problem. Simulation results verify the superior efficiency and the improvement of the new model.
关键词Ground moving target indication Alternating direction method Surveillance radar system Robust principal component analysis
DOI10.1007/s10957-016-1052-5
语种英语
资助项目National Science Foundation of China[11671036]
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000398739800014
出版者SPRINGER/PLENUM PUBLISHERS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/25246
专题中国科学院数学与系统科学研究院
通讯作者Li, Qingna
作者单位1.Beijing Inst Technol, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Software, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Elect, Beijing, Peoples R China
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Li, Qingna,He, Li,Qi, Lijuan,et al. Unique Decomposition and a New Model for the Ground Moving Target Indication Problem[J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS,2017,173(1):297-312.
APA Li, Qingna,He, Li,Qi, Lijuan,&Wang, Robert.(2017).Unique Decomposition and a New Model for the Ground Moving Target Indication Problem.JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS,173(1),297-312.
MLA Li, Qingna,et al."Unique Decomposition and a New Model for the Ground Moving Target Indication Problem".JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 173.1(2017):297-312.
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