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Article: Adaptive beamforming and recursive DOA estimation using frequency-invariant uniform concentric spherical arrays

TitleAdaptive beamforming and recursive DOA estimation using frequency-invariant uniform concentric spherical arrays
Authors
KeywordsArray processing
Broadband 2-D direction-of-arrival (DOA) estimation
Broadband 2-D DOA estimation
Broadband adaptive beamforming
Frequency invariant
Frequency-invariant (FI)
Subspace tracking
Uniform concentric spherical array (UCSA)
Uniform concentric spherical arrays
Issue Date2008
PublisherI E E E
Citation
Ieee Transactions On Circuits And Systems I: Regular Papers, 2008, v. 55 n. 10, p. 3077-3089 How to Cite?
AbstractThis paper proposes recursive adaptive beamforming and broadband 2-D direction-of-arrival (DOA) estimation algorithms for uniform concentric spherical arrays (UCSAs) having nearly frequency-invariant (FI) characteristics. The basic principle of the FI-UCSA is to transform the received signals to the phase mode and remove the frequency dependency of individual phase modes through a digital beamforming network. Hence, the far-field pattern of the array is determined by a set of weights. Thanks to the FI characteristic, traditional narrowband adaptive beamforming algorithms such as minimum variance beamforming and the generalized sidelobe canceller method can be applied to the FI-UCSA. Simulation results show that the proposed adaptive FI-UCSA beamformer achieves a lower steady-state error and converges faster than the conventional tapped-delay line approach while requiring fewer adaptive coefficients. A new broadband 2-D DOA estimation algorithm using ESPRIT techniques for FI-UCSA is proposed to recursively estimate the DOAs of the moving targets. Simulation results show that the proposed DOA estimation algorithm achieves a satisfactory performance for slowly varying sources at low arithmetic complexity. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/143328
ISSN
2006 Impact Factor: 1.139
2006 SCImago Journal Rankings: 1.111
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, HHen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorHo, KLen_HK
dc.date.accessioned2011-11-22T08:30:30Z-
dc.date.available2011-11-22T08:30:30Z-
dc.date.issued2008en_HK
dc.identifier.citationIeee Transactions On Circuits And Systems I: Regular Papers, 2008, v. 55 n. 10, p. 3077-3089en_HK
dc.identifier.issn1057-7122en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143328-
dc.description.abstractThis paper proposes recursive adaptive beamforming and broadband 2-D direction-of-arrival (DOA) estimation algorithms for uniform concentric spherical arrays (UCSAs) having nearly frequency-invariant (FI) characteristics. The basic principle of the FI-UCSA is to transform the received signals to the phase mode and remove the frequency dependency of individual phase modes through a digital beamforming network. Hence, the far-field pattern of the array is determined by a set of weights. Thanks to the FI characteristic, traditional narrowband adaptive beamforming algorithms such as minimum variance beamforming and the generalized sidelobe canceller method can be applied to the FI-UCSA. Simulation results show that the proposed adaptive FI-UCSA beamformer achieves a lower steady-state error and converges faster than the conventional tapped-delay line approach while requiring fewer adaptive coefficients. A new broadband 2-D DOA estimation algorithm using ESPRIT techniques for FI-UCSA is proposed to recursively estimate the DOAs of the moving targets. Simulation results show that the proposed DOA estimation algorithm achieves a satisfactory performance for slowly varying sources at low arithmetic complexity. © 2008 IEEE.en_HK
dc.languageengen_US
dc.publisherI E E Een_US
dc.relation.ispartofIEEE Transactions on Circuits and Systems I: Regular Papersen_HK
dc.subjectArray processingen_HK
dc.subjectBroadband 2-D direction-of-arrival (DOA) estimationen_HK
dc.subjectBroadband 2-D DOA estimationen_HK
dc.subjectBroadband adaptive beamformingen_HK
dc.subjectFrequency invarianten_HK
dc.subjectFrequency-invariant (FI)en_HK
dc.subjectSubspace trackingen_HK
dc.subjectUniform concentric spherical array (UCSA)en_HK
dc.subjectUniform concentric spherical arraysen_HK
dc.titleAdaptive beamforming and recursive DOA estimation using frequency-invariant uniform concentric spherical arraysen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailHo, KL:klho@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TCSI.2008.924126en_HK
dc.identifier.scopuseid_2-s2.0-57149138177en_HK
dc.identifier.hkuros159397-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57149138177&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume55en_HK
dc.identifier.issue10en_HK
dc.identifier.spage3077en_HK
dc.identifier.epage3089en_HK
dc.identifier.isiWOS:000261361300011-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChen, HH=35188515100en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridZhang, ZG=8407277900en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK

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