Range resolution improvement in FM-based passive radars using deconvolution

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1488en_US
dc.citation.issueNumber8en_US
dc.citation.spage1481en_US
dc.citation.volumeNumber10en_US
dc.contributor.authorArslan, M. T.en_US
dc.contributor.authorTofighi M.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2018-04-12T10:56:37Z
dc.date.available2018-04-12T10:56:37Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractFM-based passive bistatic radar (PBR) systems suffer from low range resolution because of the low baseband bandwidth of commercial FM broadcasts. In this paper, we propose a range resolution improvement method using deconvolution. The output of the PBR matched filter is processed using a deconvolution algorithm which assumes that targets are isolated, i.e., sparse in the range domain. The deconvolution algorithm is iterative and was implemented by performing successive orthogonal projections onto supporting hyperplanes of the epigraph set of a convex cost function. Simulation examples are presented.en_US
dc.identifier.doi10.1007/s11760-016-0959-5en_US
dc.identifier.issn1863-1703
dc.identifier.urihttp://hdl.handle.net/11693/36888
dc.language.isoEnglishen_US
dc.publisherSpringer-Verlag London Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11760-016-0959-5en_US
dc.source.titleSignal, Image and Video Processingen_US
dc.subjectDeconvolutionen_US
dc.subjectPassive radaren_US
dc.subjectRange resolutionen_US
dc.titleRange resolution improvement in FM-based passive radars using deconvolutionen_US
dc.typeArticleen_US

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