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Joint probabilistic data association filter for partially unresolved target groups

 
: Svensson, D.; Ulmke, M.; Danielsson, L.

Institute of Electrical and Electronics Engineers -IEEE-; Edinburgh International Convention Centre -EICC-; International Society of Information Fusion -ISIF-:
FUSION 2010, 13th International Conference on Information Fusion. CD-ROM : Edinburgh, United Kingdom, July 26-29, 2010
Sunnyvale: ISIF, 2010
ISBN: 978-0-9824438-1-1
8 pp.
International Conference on Information Fusion <13, 2010, Edinburgh>
English
Conference Paper
Fraunhofer FKIE

Abstract
In many surveillance problems the observed objects are so closely spaced that they cannot always be resolved by the sensor(s). Typical examples for partially unresolved measurements are the surveillance of aircraft in formation, and convoy tracking for ground surveillance. Ignoring the limited sensor resolution in a tracking system may lead to degraded tracking performance, in particular unwanted track-losses. In this paper, we further discuss a recently presented extension of the resolution model by Koch and van Keuk to the case of arbitrary object numbers, and it is shown how that model can be incorporated into the Joint Probabilistic Data Association Filter (JPDAF). Further, through simulations of a ground target tracking scenario, it is shown how the incorporation of the resolution model improves tracking performance when targets are partially unresolved.

: http://publica.fraunhofer.de/documents/N-188558.html