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A Bayesian Compressive Sensing-Based Planar Array Diagnosis Approach From Near-Field Measurements
Lin, Zhenwei1; Chen, Yaowu2; Liu, Xuesong3; Jiang, Rongxin4; Shen, Binjian5
2021-02-01
Source PublicationIEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
ISSN1536-1225
Volume20Issue:2Pages:249-253
AbstractArray diagnosis is an important tool for detecting and correcting array antenna failures. In this letter, a high-precision planar array diagnosis method based on the Bayesian compressive sensing (BCS) theory is proposed. The model of a near-field signal with a spherical wavefront is used to acquire the measured data. Then, the difference between the beam pattern of the reference array and the array under test is obtained. The array diagnosis problem involves finding the difference between the weights of the reference and of the array under test with known differences between patterns. This problem is reformulated in a Bayesian compressive sensing framework and can be efficiently solved using a fast relevance vector machine. Numerical results confirm the superiority of the proposed method in terms of diagnostic accuracy and computational efficiency than those in previous studies.
KeywordArrays Antenna measurements Signal to noise ratio Planar arrays Bayes methods Position measurement Compressed sensing Array signal processing Bayesian compressive sensing (BCS) fault diagnosis near-field measurement
DOI10.1109/LAWP.2020.3046879
Indexed BySCI
Funding OrganizationFundamental 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 ProjectFundamental 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 AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000616304100001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.idsse.ac.cn/handle/183446/8506
Collection深海工程技术部_深海信息技术研究室
Corresponding AuthorChen, Yaowu
Affiliation1.Zhejiang Univ, Inst 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. A Bayesian Compressive Sensing-Based Planar Array Diagnosis Approach From Near-Field Measurements[J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2021,20(2):249-253.
APA Lin, Zhenwei,Chen, Yaowu,Liu, Xuesong,Jiang, Rongxin,&Shen, Binjian.(2021).A Bayesian Compressive Sensing-Based Planar Array Diagnosis Approach From Near-Field Measurements.IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,20(2),249-253.
MLA Lin, Zhenwei,et al."A Bayesian Compressive Sensing-Based Planar Array Diagnosis Approach From Near-Field Measurements".IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS 20.2(2021):249-253.
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