| Adaptive Beamforming Design of Planar Arrays Based on Bayesian Compressive Sensing | |
Lin, Zhenwei1; Chen, Yaowu2; Liu, Xuesong3; Jiang, Rongxin4; Shen, Binjian5
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| 2021-02-15 | |
| Source Publication | IEEE SENSORS JOURNAL
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| ISSN | 1530-437X |
| Volume | 21Issue:4Pages:5185-5194 |
| Abstract | 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. |
| Keyword | 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 |
| DOI | 10.1109/JSEN.2020.3030043 |
| Indexed By | SCI |
| Funding Organization | 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 |
| Language | 英语 |
| Funding Project | 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 Research Area | Engineering ; Instruments & Instrumentation ; Physics |
| WOS Subject | Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied |
| WOS ID | WOS:000611133100125 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.idsse.ac.cn/handle/183446/8515 |
| Collection | 深海工程技术部_深海信息技术研究室 |
| Corresponding Author | Chen, Yaowu |
| Affiliation | 1.Zhejiang Univ, Adv Digital Technol & Instrumentat, 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, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China 4.Zhejiang Univ, Zhejiang Prov Key Lab Network Multimedia Technol, Hangzhou 310027, Zhejiang, Peoples R China 5.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Haikou 572000, Hainan, Peoples R China |
| Recommended Citation 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. |
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