NSSC OpenIR
A p-norm-like Constraint LMS Algorithm for Sparse Adaptive Beamforming
Alternative TitleWOS:000506675300002
Shi, Wanlu; Li, Yingsong1
Source PublicationAPPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
2019
Volume34Issue:12Pages:1797-1803
ISSN1054-4887
Language英语
KeywordArray beamforming constrained LMS algorithm p-norm-like constraint sparse adaptive beamforming-CHANNEL ESTIMATION DOA ESTIMATION ANTENNA-ARRAY
AbstractIn this paper, a p-norm-like constraint normalized least mean square (PNL-CNLMS) algorithm is proposed for sparse adaptive beamforming. The proposed PNL-CNLMS algorithm inherits the good capacity of the conventional constrained least mean square (CLMS) algorithm in adaptive beamforming, i.e., forming ideal beam patterns. Also, the proposed PNL-CNLMS algorithm utilizes a p-norm-like constraint to exploit sparse property of the corresponding antenna array. In the derivation procedure, the Lagrange multiplier approach and the gradient descent method are utilized to obtain the devised updating equation. Numerical simulations reveal the superiority of the proposed PNL-CNLMS algorithm.
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7506
Collection中国科学院国家空间科学中心
Affiliation1.Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
2.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Shi, Wanlu,Li, Yingsong. A p-norm-like Constraint LMS Algorithm for Sparse Adaptive Beamforming[J]. APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL,2019,34(12):1797-1803.
APA Shi, Wanlu,&Li, Yingsong.(2019).A p-norm-like Constraint LMS Algorithm for Sparse Adaptive Beamforming.APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL,34(12),1797-1803.
MLA Shi, Wanlu,et al."A p-norm-like Constraint LMS Algorithm for Sparse Adaptive Beamforming".APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL 34.12(2019):1797-1803.
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