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Conference Paper: Steering vector estimation and beamforming under uncertainties

TitleSteering vector estimation and beamforming under uncertainties
Authors
KeywordsConvex optimization
Robust beamforming
Steering vector
Subspace tracking
Array covariance matrices
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001269
Citation
The 2012 IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI., 5-8 August 2012. In IEEE/SP Workshop on Statistical Signal Processing Proceedings, 2012, p. 85-88 How to Cite?
AbstractIn this paper, we propose a new method for estimating the steering vector under uncertainties, which is utilized for improving the robustness of beamforming. We show that the desired steering vector can be estimated in closed form from a convex optimization problem by making use of the subspace principle. As this method is developed based on an extended version of the orthonormal PAST (OPAST), the steering vector can be recursively estimated with very low complexity and moving sources can be handled. To further improve the performance of beamforming, the uncertainty of the array covariance matrix is taken into account. Numerical results demonstrate that the proposed method performs well in the presence of uncertainties. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/165246
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLiao, Ben_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorTsui, KMen_US
dc.contributor.authorChu, Yen_US
dc.date.accessioned2012-09-20T08:16:30Z-
dc.date.available2012-09-20T08:16:30Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI., 5-8 August 2012. In IEEE/SP Workshop on Statistical Signal Processing Proceedings, 2012, p. 85-88en_US
dc.identifier.isbn978-1-4673-0183-1-
dc.identifier.urihttp://hdl.handle.net/10722/165246-
dc.description.abstractIn this paper, we propose a new method for estimating the steering vector under uncertainties, which is utilized for improving the robustness of beamforming. We show that the desired steering vector can be estimated in closed form from a convex optimization problem by making use of the subspace principle. As this method is developed based on an extended version of the orthonormal PAST (OPAST), the steering vector can be recursively estimated with very low complexity and moving sources can be handled. To further improve the performance of beamforming, the uncertainty of the array covariance matrix is taken into account. Numerical results demonstrate that the proposed method performs well in the presence of uncertainties. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001269-
dc.relation.ispartofIEEE/SP Workshop on Statistical Signal Processing Proceedingsen_US
dc.rightsIEEE/SP Workshop on Statistical Signal Processing Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectConvex optimization-
dc.subjectRobust beamforming-
dc.subjectSteering vector-
dc.subjectSubspace tracking-
dc.subjectArray covariance matrices-
dc.titleSteering vector estimation and beamforming under uncertaintiesen_US
dc.typeConference_Paperen_US
dc.identifier.emailLiao, B: liaobin@eee.hku.hken_US
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_US
dc.identifier.emailTsui, KM: kmtsui11@hku.hk-
dc.identifier.emailChu, Y: yjchu@eee.hku.hk-
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityTsui, KM=rp00181en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/SSP.2012.6319842-
dc.identifier.scopuseid_2-s2.0-84868232712-
dc.identifier.hkuros208543en_US
dc.identifier.spage85-
dc.identifier.epage88-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130408-

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