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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
2012 Impact Factor: 0.857
2012 SCImago Journal Rankings: 0.674
 
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 FieldValue
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
2012 Impact Factor: 0.857
2012 SCImago Journal Rankings: 0.674
 
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
 
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Author Affiliations
  1. The University of Hong Kong
  2. University of Electronic Science and Technology of China