Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements
2012 (English)In: IET Conference Publications: vol 2012, issue 595 CP, IEEE conference proceedings, 2012, Vol. 2012, no 595 CP, 1-6 p.Conference paper (Refereed)
In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using a passive sensor network. Non-cooperative transmissions from illuminators of opportunity like GSM base stations, FM radio transmitters or digital broadcasters are exploited by non-directional separately located Doppler measuring sensors. 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.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. Vol. 2012, no 595 CP, 1-6 p.
, IET Conference Publications
Doppler measurements; Gaussian mixture probability hypothesis density filter; Multi-target tracking; Random sets
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-101132DOI: 10.1049/cp.2012.0417ISBN: E-ISBN: 978-1-84919-624-6OAI: oai:DiVA.org:liu-101132DiVA: diva2:665598
Data Fusion & Target Tracking Conference (DF&TT 2012): 16-17 May 2012,London, UK