Multi-target tracking using passive doppler measurements

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dc.contributor.authorGüldoğan, Mehmet Burak
dc.contributor.authorOrguner, Umut
dc.contributor.authorGustafsson, Fredrik K.
dc.date.accessioned2025-10-24T18:06:41Z
dc.date.available2025-10-24T18:06:41Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- -- Haspolat -- 98109
dc.description.abstractIn this paper, we analyze the perjorznance oj the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using Doppler-only measurements in a passive sensor network. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successjully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario. © 2013 IEEE. © 2013 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/SIU.2013.6531165
dc.identifier.isbn9781467355629
dc.identifier.scopus2-s2.0-84880853557
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.rog/10.1109/SIU.2013.6531165
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3142
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzScopus_20251023
dc.subjectDoppler measurement
dc.subjectDoppler variance
dc.subjectGaussian mixture probability hypothesis density
dc.subjectMissed detections
dc.subjectMulti-target tracking
dc.subjectMultiple targets
dc.subjectNon-cooperative target
dc.subjectShift measurement
dc.subjectSensor networks
dc.subjectSignal processing
dc.subjectTarget tracking
dc.subjectDoppler effect
dc.titleMulti-target tracking using passive doppler measurements
dc.title.alternativePasif doppler ölcümleri kullanilarak coklu-hedef takibi
dc.typeConference Object

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