Two-dimensional Underdetermined DOA Estimation of Quasi-stationary Signals via Sparse Bayesian Learning

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dc.contributor.authorZhang, Weike
dc.contributor.authorWang, Qingping
dc.contributor.authorHuang, Jingjian
dc.contributor.authorYuan, Naichang
dc.coverage.issue3cs
dc.coverage.volume28cs
dc.date.accessioned2020-04-30T11:26:15Z
dc.date.available2020-04-30T11:26:15Z
dc.date.issued2019-09cs
dc.description.abstractIn order to improve the direction-of-arrival (DOA) estimation performance of quasi-stationary signals (QSS) using a uniform circular array (UCA), this paper addresses novel method in the context of sparse representation framework. Based on the Khatri-Rao transform, UCA can achieve a higher number of degrees of freedom to resolve more signals than the number of sensors. Then, by exploiting the two-dimensional (2-D) joint grid of UCA, the estimations of elevation and azimuth angles can be obtained from the sparse representation perspective. Finally, an expectation-maximization iteration method is developed to estimate DOAs of QSS from a Bayesian perspective. Since SBL makes full use of the sparse structure of QSS, thus the proposed algorithm possesses higher angular resolution and better DOA estimation precision compared with existing methods. Numerical simulation demonstrate the validity of the proposed method.en
dc.formattextcs
dc.format.extent627-634cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2019 vol. 28, č. 3, s. 627-634. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2019.0627en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186905
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2019/19_03_0627_0634.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectQuasi-stationary signalsen
dc.subjectUnderdetermined DOA estimationen
dc.subjectUniform circular arrayen
dc.subjectKhatri-Rao transformen
dc.subjectSparse Bayesian learningen
dc.titleTwo-dimensional Underdetermined DOA Estimation of Quasi-stationary Signals via Sparse Bayesian Learningen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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