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

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TitleSource localization using a sparse representation framework to achieve superresolution
AuthorsGuo, X1 2
Wan, Q2
Chang, C1
Lam, EY1
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
CitationMultidimensional 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).
ISSN0923-6082
2011 Impact Factor: 0.953
2011 SCImago Journal Rankings: 0.048
DOIhttp://dx.doi.org/10.1007/s11045-010-0119-y
ISI Accession Number IDWOS: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).

ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorGuo, X
dc.contributor.authorWan, Q
dc.contributor.authorChang, C
dc.contributor.authorLam, EY
dc.date.accessioned2010-09-30T03:47:45Z
dc.date.available2010-09-30T03:47:45Z
dc.date.issued2010
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).
dc.description.naturepublished_or_final_version
dc.description.otherSpringer Open Choice, 01 Dec 2010
dc.identifier.citationMultidimensional 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
dc.identifier.citeulike7403374
dc.identifier.doihttp://dx.doi.org/10.1007/s11045-010-0119-y
dc.identifier.eissn1573-0824
dc.identifier.epage402
dc.identifier.hkuros173586
dc.identifier.hkuros186762
dc.identifier.isiWOS: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).

dc.identifier.issn0923-6082
2011 Impact Factor: 0.953
2011 SCImago Journal Rankings: 0.048
dc.identifier.issue4
dc.identifier.scopuseid_2-s2.0-77956612234
dc.identifier.spage391
dc.identifier.urihttp://hdl.handle.net/10722/123832
dc.identifier.volume21
dc.languageeng
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082
dc.publisher.placeUnited States
dc.relation.ispartofMultidimensional Systems and Signal Processing
dc.relation.referencesReferences in Scopus
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
dc.rightsThe Author(s)
dc.subjectArray signal processing
dc.subjectDirection-of-arrival (DOA)
dc.subjectResampling
dc.subjectSource localization
dc.subjectSparsity
dc.subjectSuperresolution
dc.titleSource localization using a sparse representation framework to achieve superresolution
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. University of Electronic Science and Technology of China