Güldoğan, Mehmet BurakOrguner, UmutGustafsson, Fredrik K.2025-10-242025-10-2420139781467355629https://doi.rog/10.1109/SIU.2013.6531165https://hdl.handle.net/20.500.12899/31422013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- -- Haspolat -- 98109In 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.trinfo:eu-repo/semantics/openAccessDoppler measurementDoppler varianceGaussian mixture probability hypothesis densityMissed detectionsMulti-target trackingMultiple targetsNon-cooperative targetShift measurementSensor networksSignal processingTarget trackingDoppler effectConference Object10.1109/SIU.2013.65311652-s2.0-84880853557N/A