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Article: Adaptive beamforming for uniform linear arrays with unknown mutual coupling

TitleAdaptive beamforming for uniform linear arrays with unknown mutual coupling
Authors
KeywordsAdaptive Beamforming
Mutual Coupling
Uniform Linear Array (ULA)
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7727
Citation
IEEE Antennas And Wireless Propagation Letters, 2012, v. 11, p. 464-467 How to Cite?
AbstractThis letter proposes a new adaptive beamforming algorithm for uniform linear arrays (ULAs) with unknown mutual coupling. It is based on the fact that the mutual coupling matrix (MCM) of a ULA can be approximated as a banded symmetric Toeplitz matrix as the mutual coupling between two sensor elements is inversely related to their separation, and hence it is negligible when they are separated by a few wavelengths. Taking advantage of this specific structure of the MCM, a new approach to calibrate the signal steering vector is proposed. By incorporating this improved steering vector estimate with a diagonally loaded robust beamformer, a new adaptive beamformer for ULA with unknown mutual coupling is obtained. Simulation results show that the proposed steering vector estimate considerably improves the robustness of the beamformer in the presence of unknown mutual coupling. Moreover, with appropriate diagonal loading, it is found that the proposed beamformer can achieve nearly optimal performance at all signal-to-noise ratio (SNR) levels. © 2002-2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155755
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 1.634
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiao, Ben_US
dc.contributor.authorChan, SCen_US
dc.date.accessioned2012-08-08T08:35:11Z-
dc.date.available2012-08-08T08:35:11Z-
dc.date.issued2012en_US
dc.identifier.citationIEEE Antennas And Wireless Propagation Letters, 2012, v. 11, p. 464-467en_US
dc.identifier.issn1536-1225en_US
dc.identifier.urihttp://hdl.handle.net/10722/155755-
dc.description.abstractThis letter proposes a new adaptive beamforming algorithm for uniform linear arrays (ULAs) with unknown mutual coupling. It is based on the fact that the mutual coupling matrix (MCM) of a ULA can be approximated as a banded symmetric Toeplitz matrix as the mutual coupling between two sensor elements is inversely related to their separation, and hence it is negligible when they are separated by a few wavelengths. Taking advantage of this specific structure of the MCM, a new approach to calibrate the signal steering vector is proposed. By incorporating this improved steering vector estimate with a diagonally loaded robust beamformer, a new adaptive beamformer for ULA with unknown mutual coupling is obtained. Simulation results show that the proposed steering vector estimate considerably improves the robustness of the beamformer in the presence of unknown mutual coupling. Moreover, with appropriate diagonal loading, it is found that the proposed beamformer can achieve nearly optimal performance at all signal-to-noise ratio (SNR) levels. © 2002-2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7727-
dc.relation.ispartofIEEE Antennas and Wireless Propagation Lettersen_US
dc.subjectAdaptive Beamformingen_US
dc.subjectMutual Couplingen_US
dc.subjectUniform Linear Array (ULA)en_US
dc.titleAdaptive beamforming for uniform linear arrays with unknown mutual couplingen_US
dc.typeArticleen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/LAWP.2012.2196017en_US
dc.identifier.scopuseid_2-s2.0-84860654187en_US
dc.identifier.hkuros225094-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84860654187&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume11en_US
dc.identifier.spage464en_US
dc.identifier.epage467en_US
dc.identifier.isiWOS:000303995800004-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLiao, B=44661377800en_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US
dc.identifier.issnl1536-1225-

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