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Target existence probability in the distributed Kalman filter

: Svensson, D.; Govaers, F.; Ulmke, M.; Koch, W.


Institute of Electrical and Electronics Engineers -IEEE-; International Society of Information Fusion -ISIF-:
8th Workshop on Sensor Data Fusion: Trends, Solutions, Applications, SDF 2013 : 9-11 October 2013, Bonn
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-0777-9
5 pp.
Workshop on Sensor Data Fusion (SDF) <8, 2013, Bonn>
Conference Paper
Fraunhofer FKIE ()

In this paper, the target existence probability for a single target in clutter is derived. More specifically, the paper considers target existence in the distributed Kalman filter. First, a conceptual solution is derived explicitly for a two-sensor case, and second a moment-matching approximation is performed, which enables computational tractability. The results can be generalized to arbitrary numbers of sensors.