General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation

doi:10.1155/2019/3858794

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation
	Chen, Haihua 2; Li, Haoran 3; Yang, Mingyang 1; Xiang, Changbo 1; Suzuki, Masakiyo 4
刊名	INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
	2019-12-11
卷号	2019 页码:9
ISSN号	1687-5869
DOI	10.1155/2019/3858794
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
出版者	HINDAWI LTD
WOS记录号	WOS:000504260500001
内容类型	期刊论文
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.