A weighted sparse constraint Capon beamforming algorithm

Aiming at the problem of high sidelobes and nulls was not deep of Capon beamformer,the methods of reducing sidelobes and nulls were studied,a weighted sparse constraint Capon beamforming algorithm was proposed.Firstly,using the correlation operation of sidelobe array manifold matrix and the covarian...

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Main Authors: Yongxin DU, Xin MA, Baoshan LI, Ling QIN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2018-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018019/
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author Yongxin DU
Xin MA
Baoshan LI
Ling QIN
author_facet Yongxin DU
Xin MA
Baoshan LI
Ling QIN
author_sort Yongxin DU
collection DOAJ
description Aiming at the problem of high sidelobes and nulls was not deep of Capon beamformer,the methods of reducing sidelobes and nulls were studied,a weighted sparse constraint Capon beamforming algorithm was proposed.Firstly,using the correlation operation of sidelobe array manifold matrix and the covariance matrix obtained the interference and noise energy were roughly posterior distribution in different directions.Then,different values were weighted in different directions according to the results,and restrained the interference.Simulation results show that the approach can reduce the sidelobes and deepen the null to fall the depth of the beam pattern,and improve the ability of suppress noise and interference.The proposed method is robust to both expected and array errors.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2018-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-8d4d8a8996a2401f903ccc88db9f19f42025-01-15T03:05:03ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-03-013411211859596537A weighted sparse constraint Capon beamforming algorithmYongxin DUXin MABaoshan LILing QINAiming at the problem of high sidelobes and nulls was not deep of Capon beamformer,the methods of reducing sidelobes and nulls were studied,a weighted sparse constraint Capon beamforming algorithm was proposed.Firstly,using the correlation operation of sidelobe array manifold matrix and the covariance matrix obtained the interference and noise energy were roughly posterior distribution in different directions.Then,different values were weighted in different directions according to the results,and restrained the interference.Simulation results show that the approach can reduce the sidelobes and deepen the null to fall the depth of the beam pattern,and improve the ability of suppress noise and interference.The proposed method is robust to both expected and array errors.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018019/beamformingweighted sparse constraintsidelobe suppressionanti-interferencerobust
spellingShingle Yongxin DU
Xin MA
Baoshan LI
Ling QIN
A weighted sparse constraint Capon beamforming algorithm
Dianxin kexue
beamforming
weighted sparse constraint
sidelobe suppression
anti-interference
robust
title A weighted sparse constraint Capon beamforming algorithm
title_full A weighted sparse constraint Capon beamforming algorithm
title_fullStr A weighted sparse constraint Capon beamforming algorithm
title_full_unstemmed A weighted sparse constraint Capon beamforming algorithm
title_short A weighted sparse constraint Capon beamforming algorithm
title_sort weighted sparse constraint capon beamforming algorithm
topic beamforming
weighted sparse constraint
sidelobe suppression
anti-interference
robust
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018019/
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AT baoshanli weightedsparseconstraintcaponbeamformingalgorithm
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