Target Existence Probability in the Distributed Kalman Filter
Paper in proceedings, 2013

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.

Kalman filtering

Target tracking


Daniel Svensson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Felix Govaers

Martin Ulmke

Wolfgang Koch

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)

Areas of Advance



Basic sciences

Subject Categories

Probability Theory and Statistics

Signal Processing

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