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dc.contributor.authorCui, K. B.
dc.contributor.authorChen, X.
dc.contributor.authorHuang, J. J.
dc.contributor.authorYuan, N. C.
dc.date.accessioned2018-06-18T10:29:50Z
dc.date.available2018-06-18T10:29:50Z
dc.date.issued2017-12cs
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 4, s. 1126-1137. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/82944
dc.description.abstractDirection of arrival (DOA) estimation is an important problem in array signal processing. An effective multiple signal classification (MUSIC) method based on the short-time Fourier transform (STFT) and forward/ backward spatial smoothing (FBSS) techniques for the DOA estimation problem of multiple time-frequency (t-f) joint LFM sources is addressed. Previous work in the area e. g. STFT-MUSIC algorithm cannot resolve the t-f completely or largely joint sources because they can only select the single-source t-f points. The proposed method con¬structs the spatial t-f distributions (STFDs) by selecting the multiple-source t-f points and uses the FBSS techniques to solve the problem of rank loss. In this way, the STFT-FBSS-MUSIC algorithm can resolve the t-f largely joint or completely joint LFM sources. In addition, the proposed algorithm also owns pretty low computational complexity when resolving multiple LFM sources because it can reduce the times of the feature decomposition and spectrum search. The performance of the proposed method is compared with that of the existing t-f based MUSIC algorithms through computer simulations and the results show its good performance.en
dc.formattextcs
dc.format.extent1126-1137cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_1126_1137.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectDOA estimationen
dc.subjectSTFTen
dc.subjectFBSSen
dc.subjectLFM signalsen
dc.subjectt-f jointen
dc.subjectMUSICen
dc.subjectmultiple-sources t-f pointsen
dc.titleDOA Estimation of Multiple LFM Sources Using a STFT-based and FBSS-based MUSIC Algorithmen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/re.2017.1126en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International