Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing

doi:10.1109/JSEN.2020.3030043

CORC > 深海科学与工程研究所 > 中国科学院深海科学与工程研究所 > 深海工程技术部 > 深海信息技术研究室

	Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing
	Lin, Zhenwei 3; Chen, Yaowu 2; Liu, Xuesong 1; Jiang, Rongxin 5; Shen, Binjian 4
刊名	IEEE SENSORS JOURNAL
	2021-02-15
卷号	21 期号:4 页码:5185-5194
关键词	Covariance matrices Direction-of-arrival estimation Array signal processing Interference Estimation Planar arrays Compressed sensing Adaptive beamforming Bayesian compressed sensing covariance matrix reconstruction directions of arrival estimation side lobe control
ISSN号	1530-437X
DOI	10.1109/JSEN.2020.3030043
英文摘要	An adaptive beamformer is effective at suppressing interference and noise. However, when the desired signal component is included in the covariance matrix, the beamformer performance becomes seriously degraded. Moreover, while the linear array has been actively researched, few studies have focused on the planar array. In this paper, an adaptive beamformer with more accurate reconstruction of the covariance matrix for a planar array is therefore proposed. The reconstruction is based on the Bayesian compressive sensing (BCS) theory. First, the directions of arrival (DOA) estimation of interferences are conducted. This problem is transformed into that of finding the minimum number of DOAs with a nonzero input because the array output is known. Accordingly, it can be converted into a probabilistic framework using the BCS technique. Then, the interference plus noise covariance matrix is reconstructed by using the DOAs of the interferences and the Capon spatial spectrum estimator. The reconstruction matrix is more accurate than other methods that directly use a data sampling matrix. Further constraints are then added to control the side-lobe level of the beam pattern of the proposed beamformer. Our numerical results confirm the effectiveness of the proposed method in terms of interference suppression, robustness to mismatch errors, and effective side-lobe-level control.
资助项目	Fundamental Research Funds for the Central Universities ; National Science Foundation for Young Scientists of China[41806115] ; National Key Research and Development on Deep Ocean Technology and System[2016YFC0301604]
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000611133100125
资助机构	Fundamental Research Funds for the Central Universities ; National Science Foundation for Young Scientists of China ; National Key Research and Development on Deep Ocean Technology and System
内容类型	期刊论文
源URL	[http://ir.idsse.ac.cn/handle/183446/8514]
专题	深海工程技术部_深海信息技术研究室
通讯作者	Chen, Yaowu
作者单位	1.Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China 2.Zhejiang Univ, Engn Res Ctr, Embedded Syst Educ Dept, Hangzhou 310027, Zhejiang, Peoples R China 3.Zhejiang Univ, Adv Digital Technol & Instrumentat, Hangzhou 310027, Zhejiang, Peoples R China 4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Haikou 572000, Hainan, Peoples R China 5.Zhejiang Univ, Zhejiang Prov Key Lab Network Multimedia Technol, Hangzhou 310027, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Lin, Zhenwei,Chen, Yaowu,Liu, Xuesong,et al. Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing[J]. IEEE SENSORS JOURNAL,2021,21(4):5185-5194.
APA	Lin, Zhenwei,Chen, Yaowu,Liu, Xuesong,Jiang, Rongxin,&Shen, Binjian.(2021).Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing.IEEE SENSORS JOURNAL,21(4),5185-5194.
MLA	Lin, Zhenwei,et al."Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing".IEEE SENSORS JOURNAL 21.4(2021):5185-5194.