Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance

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dc.contributor.authorYukawa, Masahiroko
dc.contributor.authorSung, Youngchulko
dc.contributor.authorLee, Gilwonko
dc.date.accessioned2013-08-08T05:01:01Z-
dc.date.available2013-08-08T05:01:01Z-
dc.date.created2013-06-27-
dc.date.created2013-06-27-
dc.date.issued2013-06-
dc.identifier.citationIEEE TRANSACTIONS ON SIGNAL PROCESSING, v.61, no.11, pp.2874 - 2886-
dc.identifier.issn1053-587X-
dc.identifier.urihttp://hdl.handle.net/10203/174347-
dc.description.abstractIn this paper, a novel adaptive beamforming algorithm is proposed under a linearly and quadratically constrained minimum variance (LQCMV) beamforming framework, based on a dual-domain projection approach that can efficiently implement a quadratic-inequality constraint with a possibly rank-deficient positive semi-definite matrix, and the properties of the proposed algorithm are analyzed. As an application, relaxed zero-forcing (RZF) beamforming is presented which adopts a specific quadratic constraint that bounds the power of residual interference in the beamformer output with the aid of interference-channel side-information available typically in wireless multiple-access systems. The dual-domain projection in this case plays a role in guiding the adaptive algorithm towards a better direction to minimize the interference and noise, leading to considerably faster convergence. The robustness issue against channel mismatch and ill-posedness is also addressed. Numerical examples show that the efficient use of interference side-information brings considerable gains.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectPROJECTED SUBGRADIENT METHOD-
dc.subjectARRAY-
dc.titleDual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance-
dc.typeArticle-
dc.identifier.wosid000319592700012-
dc.identifier.scopusid2-s2.0-84877884114-
dc.type.rimsART-
dc.citation.volume61-
dc.citation.issue11-
dc.citation.beginningpage2874-
dc.citation.endingpage2886-
dc.citation.publicationnameIEEE TRANSACTIONS ON SIGNAL PROCESSING-
dc.identifier.doi10.1109/TSP.2013.2254481-
dc.contributor.localauthorSung, Youngchul-
dc.contributor.nonIdAuthorYukawa, Masahiro-
dc.contributor.nonIdAuthorLee, Gilwon-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAdaptive beamforming-
dc.subject.keywordAuthordual-domain adaptive algorithm-
dc.subject.keywordAuthorLCMV-
dc.subject.keywordAuthorLQCMV-
dc.subject.keywordAuthorrelaxed zero forcing-
dc.subject.keywordPlusPROJECTED SUBGRADIENT METHOD-
dc.subject.keywordPlusARRAY-
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