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Target Existence Probability in the Distributed Kalman Filter

Daniel Svensson (Institutionen för signaler och system, Signalbehandling) ; Felix Govaers ; Martin Ulmke ; Wolfgang Koch
2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) (2013)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Target tracking, Kalman filtering

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Denna post skapades 2016-01-03.
CPL Pubid: 229443


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling


Matematisk statistik

Chalmers infrastruktur