Range resolution improvement in passive bistatic radars using nested FM channels and least squares approach

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage9en_US
dc.citation.spage1en_US
dc.citation.volumeNumber9474en_US
dc.contributor.authorArslan, Musa Tunçen_US
dc.contributor.authorTofighi, Muhammaden_US
dc.contributor.authorSevimli, Rasim Akınen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialBaltimore, Maryland, United Statesen_US
dc.date.accessioned2016-02-08T12:16:05Zen_US
dc.date.available2016-02-08T12:16:05Zen_US
dc.date.issued2015en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 20-24 April 2015en_US
dc.descriptionConference Name: SPIE Defense and Security Symposium, 2015en_US
dc.description.abstractOne of the main disadvantages of using commercial broadcasts in a Passive Bistatic Radar (PBR) system is the range resolution. Using multiple broadcast channels to improve the radar performance is offered as a solution to this problem. However, it suffers from detection performance due to the side-lobes that matched filter creates for using multiple channels. In this article, we introduce a deconvolution algorithm to suppress the side-lobes. The two-dimensional matched filter output of a PBR is further analyzed as a deconvolution problem. The deconvolution algorithm is based on making successive projections onto the hyperplanes representing the time delay of a target. Resulting iterative deconvolution algorithm is globally convergent because all constraint sets are closed and convex. Simulation results in an FM based PBR system are presented.en_US
dc.identifier.doi10.1117/12.2176067en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11693/28274en_US
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.2176067en_US
dc.source.titleProceedings of SPIE Vol. 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIVen_US
dc.subjectDeconvolutionen_US
dc.subjectPassive bistatic radaren_US
dc.subjectRange resolutionen_US
dc.subjectAlgorithmsen_US
dc.subjectIterative methodsen_US
dc.subjectMatched filtersen_US
dc.subjectPattern matchingen_US
dc.subjectRadaren_US
dc.subjectSignal processingen_US
dc.subjectTime delayen_US
dc.subjectBistatic radarsen_US
dc.subjectDeconvolution algorithmen_US
dc.subjectDeconvolution problemen_US
dc.subjectDetection performanceen_US
dc.subjectIterative deconvolution algorithmsen_US
dc.subjectLeast-squares approachen_US
dc.subjectMultiple broadcast channelsen_US
dc.titleRange resolution improvement in passive bistatic radars using nested FM channels and least squares approachen_US
dc.typeConference Paperen_US

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