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Article: Source localization using a sparse representation framework to achieve superresolution

TitleSource localization using a sparse representation framework to achieve superresolution
Authors
Guo, XWan, QChang, CLam, EY
KeywordsArray signal processing
Direction-of-arrival (DOA)
Resampling
Source localization
Sparsity
Superresolution
Issue Date2010
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082
Citation
Multidimensional Systems And Signal Processing, 2010, v. 21 n. 4, p. 391-402 How to Cite?
DOI: http://dx.doi.org/10.1007/s11045-010-0119-y
AbstractWe present a source localization approach using resampling within a sparse representation framework. In particular, the amplitude and phase information of the sparse solution is considered holistically to estimate the direction-of-arrival (DOA), where a resampling technique is developed to determine which information will give a more precise estimation. The simulation results confirm the efficacy of our proposed method. © 2010 The Author(s).
Persistent Identifierhttp://hdl.handle.net/10722/123832
ISSN
0923-6082
2021 Impact Factor: 2.030
2020 SCImago Journal Rankings: 0.337
ISI Accession Number ID
WOS:000281251300005
Funding AgencyGrant Number
University of Hong Kong10208648
10400399
National Natural Science Foundation of China60772146
National High Technology Research and Development Program of China (863 Program)2008AA12Z306
Key Project of Chinese Ministry of Education109139
Open Research Fundation of Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT)
Funding Information:

This work was in part supported by the University of Hong Kong under Projects 10208648 and 10400399 at the University of Hong Kong, and by the National Natural Science Foundation of China under grant 60772146, the National High Technology Research and Development Program of China (863 Program) under grant 2008AA12Z306, the Key Project of Chinese Ministry of Education under grant 109139 and in part by Open Research Fundation of Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT).

References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorGuo, Xen_HK
dc.contributor.authorWan, Qen_HK
dc.contributor.authorChang, Cen_HK
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2010-09-30T03:47:45Z-
dc.date.available2010-09-30T03:47:45Z-
dc.date.issued2010en_HK
dc.identifier.citationMultidimensional Systems And Signal Processing, 2010, v. 21 n. 4, p. 391-402en_HK
dc.identifier.issn0923-6082en_HK
dc.identifier.urihttp://hdl.handle.net/10722/123832-
dc.description.abstractWe present a source localization approach using resampling within a sparse representation framework. In particular, the amplitude and phase information of the sparse solution is considered holistically to estimate the direction-of-arrival (DOA), where a resampling technique is developed to determine which information will give a more precise estimation. The simulation results confirm the efficacy of our proposed method. © 2010 The Author(s).en_HK
dc.languageeng-
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082en_HK
dc.relation.ispartofMultidimensional Systems and Signal Processingen_HK
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.rightsThe Author(s)en_US
dc.subjectArray signal processingen_HK
dc.subjectDirection-of-arrival (DOA)en_HK
dc.subjectResamplingen_HK
dc.subjectSource localizationen_HK
dc.subjectSparsityen_HK
dc.subjectSuperresolutionen_HK
dc.titleSource localization using a sparse representation framework to achieve superresolutionen_HK
dc.typeArticleen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.emailLam, EY: elam@eee.hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1007/s11045-010-0119-yen_HK
dc.identifier.scopuseid_2-s2.0-77956612234en_HK
dc.identifier.hkuros173586-
dc.identifier.hkuros186762-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956612234&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume21en_HK
dc.identifier.issue4en_HK
dc.identifier.spage391en_HK
dc.identifier.epage402en_HK
dc.identifier.eissn1573-0824en_HK
dc.identifier.isiWOS:000281251300005-
dc.publisher.placeUnited Statesen_HK
dc.description.otherSpringer Open Choice, 01 Dec 2010-
dc.identifier.scopusauthoridGuo, X=35098585000en_HK
dc.identifier.scopusauthoridWan, Q=7102267076en_HK
dc.identifier.scopusauthoridChang, C=7407033052en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.citeulike7403374-
dc.identifier.issnl0923-6082-

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