Consensus Bernoulli Filter for Distributed Detection and Tracking using Multi-Static Doppler Shifts

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dc.contributor.authorGuldogan, Mehmet B.
dc.date.accessioned2025-10-24T18:09:22Z
dc.date.available2025-10-24T18:09:22Z
dc.date.issued2014
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractIn this letter, we study the problem of distributed detection and tracking of a target over a network of separately located Doppler-shift sensors. For this challenging problem, we propose consensus Gaussian mixture - Bernoulli (CGM-Ber) filter. The simulation results prove the robust and effective performance of the proposed approach in a challenging tracking scenario.
dc.identifier.doi10.1109/LSP.2014.2313177
dc.identifier.endpage676
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84898045152
dc.identifier.scopusqualityQ1
dc.identifier.startpage672
dc.identifier.urihttps://doi.org/10.1109/LSP.2014.2313177
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3590
dc.identifier.volume21
dc.identifier.wosWOS:000334598700002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Signal Processing Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectBernoulli filter; consensus algorithms; covariance intersection; distributed fusion; Doppler-shift; target tracking
dc.titleConsensus Bernoulli Filter for Distributed Detection and Tracking using Multi-Static Doppler Shifts
dc.typeArticle

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