Classification of Human Micro-Doppler in a Radar Network

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dc.authoridGurbuz, Sevgi Zubeyde/0000-0001-7487-9087|Yuksel, Melda/0000-0002-8029-631X|Gurbuz, Ali Cafer/0000-0001-8923-0299
dc.contributor.authorTekeli, Burkan
dc.contributor.authorGurbuz, Sevgi Zubeyde
dc.contributor.authorYuksel, Melda
dc.contributor.authorGurbuz, Ali Cafer
dc.contributor.authorGuldogan, Mehmet Burak
dc.date.accessioned2025-10-24T18:10:24Z
dc.date.available2025-10-24T18:10:24Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.descriptionIEEE Radar Conference (RADAR) -- APR 29-MAY 03, 2013 -- Ottawa, CANADA
dc.description.abstractThe unique, bi-pedal motion of humans has been shown to generate a characteristic micro-Doppler signature in the time-frequency domain that can be used to discriminate humans from not just other targets, but also between different activities, such as walking and running. However, the classification performance increasingly drops as the aspect angle between the target and radar approaches perpendicular, and the radial velocity component seen by the radar is minimized. In this paper, exploitation of the multi-static micro-Doppler signature formed from multi-angle observations of a radar network is proposed to improve oblique-angle classification performance. The concept of mutual information is applied to find the order of importance of features for a given classification problem, thereby enabling the selection of optimal features prior to classification. Strategies for fusing multistatic data using mutual information and model-based approaches are discussed.
dc.description.sponsorshipEU (COGSENSE) [PIRG-GA-2010-268276]
dc.description.sponsorshipThis work was supported in part by EU FP7 Project No. PIRG-GA-2010-268276 (COGSENSE).
dc.description.sponsorshipIEEE,IEEE Ottawa Sect,AESS
dc.identifier.isbn978-1-4673-5794-4
dc.identifier.isbn978-1-4673-5792-0
dc.identifier.issn1097-5764
dc.identifier.scopus2-s2.0-84884823239
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4157
dc.identifier.wosWOS:000332480800117
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2013 Ieee Radar Conference (Radar)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectSignatures; Model
dc.titleClassification of Human Micro-Doppler in a Radar Network
dc.typeConference Object

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