An Efficient Sparse Representation Algorithm for Direction-of-Arrival Estimation

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dc.contributor.authorSun, Lei
dc.contributor.authorWang, Huali
dc.contributor.authorXu, Guangjie
dc.coverage.issue3cs
dc.coverage.volume22cs
dc.date.accessioned2015-01-21T11:47:03Z
dc.date.available2015-01-21T11:47:03Z
dc.date.issued2013-09cs
dc.description.abstractThis paper presents an efficient sparse representation approach to direction-of-arrival (DOA) estimation using uniform linear arrays. The proposed approach constructs the jointly sparse model in real domain by exploiting the properties of centro-Hermitian matrices. Subsequently, DOA estimation is realized via the sparse Bayesian learning (SBL) algorithm. Further, the pruning threshold of SBL is adaptively selected to speed up the basis pruning rate. Simulation results demonstrate that the proposed approach achieves an improved performance and enjoys computational efficiency as compared to the state-of-the-art l1-norm-based DOA estimators especially in scenarios with small sample size and low signal-to-noise ratio.en
dc.formattextcs
dc.format.extent834-840cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2013, vol. 22, č. 3, s. 834-840. issn 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36934
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2013/13_03_0834_0840.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectDirection-of-arrival (DOA) estimationen
dc.subjectuniform linear arrayen
dc.subjectsparse representationen
dc.subjectsparse Bayesian learning.en
dc.titleAn Efficient Sparse Representation Algorithm for Direction-of-Arrival Estimationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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