On Extended Target Tracking Using PHD Filters
2012 (English)Other (Other academic)
This paper presents an overview of the extended target tracking research undertaken at the division of Automatic Control at Linköping University. The PHD and CPHD filters for multiple extended target tracking under clutter and unknown association are summarized, with focus on the Gaussian mixture and Gaussian inverse Wishart implementations. The paper elaborates on measurement set partitioning, the measurement generating Poisson rates, the probability of detection, and practical examples of measurement models.
Place, publisher, year, edition, pages
St. Paul, MN, USA, 2012.
Finite set statistics, probability hypothesis density, extended targets, Gaussian, Wishart
IdentifiersURN: urn:nbn:se:liu:diva-96882OAI: oai:DiVA.org:liu-96882DiVA: diva2:643658
ProjectsCADICSExtended Target TrackingCUAS