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Article: On low complexity robust beamforming with positive semidefinite constraints
Title | On low complexity robust beamforming with positive semidefinite constraints | ||||||
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Authors | |||||||
Keywords | Convex optimization Minimax Positive semidefinite constraint Robust beamforming | ||||||
Issue Date | 2009 | ||||||
Publisher | IEEE | ||||||
Citation | Ieee Transactions On Signal Processing, 2009, v. 57 n. 12, p. 4942-4945 How to Cite? | ||||||
Abstract | This paper addresses the problem of robust beamforming for general-rank signal models with norm bounded uncertainties in the desired and received signal covariance matrices as well as positive semidefinite constraints on the covariance matrices. Two novel minimum variance robust beamformers are derived in closed-form. The first one basically is the closed-form version of an existing iterative algorithm, while the second one offers even better performance with respect to the first one. Both of them have the advantage of low complexity. The effectiveness and performance improvement of the proposed beamformers are verified by simulation results. © 2009 IEEE. | ||||||
Persistent Identifier | http://hdl.handle.net/10722/73912 | ||||||
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 2.520 | ||||||
ISI Accession Number ID |
Funding Information: Manuscript received December 22, 2008; accepted May 19, 2009. First published June 23, 2009; current version published November 18, 2009. The work was supported in part by the General Research Fund, Project No. HKU 7181/07E and by the HKU Seed Funding Programme, Project No. 200711159056. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Andreas Jakobsson. | ||||||
References | |||||||
Grants |
DC Field | Value | Language |
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dc.contributor.author | Xing, C | en_HK |
dc.contributor.author | Ma, S | en_HK |
dc.contributor.author | Wu, YC | en_HK |
dc.date.accessioned | 2010-09-06T06:55:58Z | - |
dc.date.available | 2010-09-06T06:55:58Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Ieee Transactions On Signal Processing, 2009, v. 57 n. 12, p. 4942-4945 | en_HK |
dc.identifier.issn | 1053-587X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/73912 | - |
dc.description.abstract | This paper addresses the problem of robust beamforming for general-rank signal models with norm bounded uncertainties in the desired and received signal covariance matrices as well as positive semidefinite constraints on the covariance matrices. Two novel minimum variance robust beamformers are derived in closed-form. The first one basically is the closed-form version of an existing iterative algorithm, while the second one offers even better performance with respect to the first one. Both of them have the advantage of low complexity. The effectiveness and performance improvement of the proposed beamformers are verified by simulation results. © 2009 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.publisher | IEEE | en_HK |
dc.relation.ispartof | IEEE Transactions on Signal Processing | en_HK |
dc.rights | ©2009 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.subject | Convex optimization | en_HK |
dc.subject | Minimax | en_HK |
dc.subject | Positive semidefinite constraint | en_HK |
dc.subject | Robust beamforming | en_HK |
dc.title | On low complexity robust beamforming with positive semidefinite constraints | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-587X&volume=57&issue=12&spage=4942&epage=4945&date=2009&atitle=On+low+complexity+robust+beamforming+with+positive+semidefinite+constraints | en_HK |
dc.identifier.email | Ma, S: sdma@eee.hku.hk | en_HK |
dc.identifier.email | Wu, YC: ycwu@hkucc.hku.hk | en_HK |
dc.identifier.authority | Ma, S=rp00153 | en_HK |
dc.identifier.authority | Wu, YC=rp00195 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/TSP.2009.2025823 | en_HK |
dc.identifier.scopus | eid_2-s2.0-70450228524 | en_HK |
dc.identifier.hkuros | 183146 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-70450228524&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 57 | en_HK |
dc.identifier.issue | 12 | en_HK |
dc.identifier.spage | 4942 | en_HK |
dc.identifier.epage | 4945 | en_HK |
dc.identifier.isi | WOS:000271958600030 | - |
dc.publisher.place | United States | en_HK |
dc.relation.project | Bayesian approach for Carrier frequency offsets estimation in OFDMA systems | - |
dc.identifier.scopusauthorid | Xing, C=35184311300 | en_HK |
dc.identifier.scopusauthorid | Ma, S=8553949000 | en_HK |
dc.identifier.scopusauthorid | Wu, YC=7406894786 | en_HK |
dc.identifier.issnl | 1053-587X | - |