Guldogan, Mehmet B.Orguner, UmutGustafsson, Fredrik2025-10-242025-10-242013978-1-4673-5563-6978-1-4673-5562-92165-0608https://hdl.handle.net/20.500.12899/419521st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSIn this paper, we analyze the performance of 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 successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.trinfo:eu-repo/semantics/closedAccessObservabilityConference ObjectWOS:000325005300006N/A