中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation

文献类型:期刊论文

作者Chen, Haihua2; Li, Haoran3; Yang, Mingyang1; Xiang, Changbo1; Suzuki, Masakiyo4
刊名INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
出版日期2019-12-11
卷号2019页码:9
ISSN号1687-5869
DOI10.1155/2019/3858794
英文摘要Heuristic algorithms are considered to be effective approaches for super-resolution DOA estimations such as Deterministic Maximum Likelihood (DML), Stochastic Maximum Likelihood (SML), and Weighted Subspace Fitting (WSF) which are involved in nonlinear multi-dimensional optimization. Traditional heuristic algorithms usually need a large number of particles and iteration times. As a result, the computational complexity is still a bit high, which prevents the application of these super-resolution techniques in real systems. To reduce the computational complexity of heuristic algorithms for these super-resolution techniques of DOA, this paper proposes three general improvements of heuristic algorithms, i.e., the optimization of the initialization space, the optimization of evolutionary strategies, and the usage of parallel computing techniques. Simulation results show that the computational complexity can be greatly reduced while these improvements are used.
资助项目National Natural Science Funds, China[61601519] ; Fundamental Research Funds for the Central University, China[18CX02135A] ; Electronic Testing Technology Key Laboratory Fund Project, China[614200105010217]
WOS研究方向Engineering ; Telecommunications
语种英语
WOS记录号WOS:000504260500001
出版者HINDAWI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/14992]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Haihua
作者单位1.41st Res Inst China Elect Sci & Technol Grp Corp, Natl Key Lab Sci & Technol Elect Test & Measureme, Qingdao, Shandong, Peoples R China
2.China Univ Petr, Coll Ocean & Spatial Informat, Qingdao 266580, Shandong, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
4.Kitami Inst Technol, Grad Sch Engn, Kitami, Hokkaido 0908507, Japan
推荐引用方式
GB/T 7714
Chen, Haihua,Li, Haoran,Yang, Mingyang,et al. General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation[J]. INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION,2019,2019:9.
APA Chen, Haihua,Li, Haoran,Yang, Mingyang,Xiang, Changbo,&Suzuki, Masakiyo.(2019).General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation.INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION,2019,9.
MLA Chen, Haihua,et al."General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation".INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2019(2019):9.

入库方式: OAI收割

来源:计算技术研究所

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