Target existence probability in the distributed Kalman filter

  title={Target existence probability in the distributed Kalman filter},
  author={Daniel Svensson and Felix Govaers and Martin Ulmke and Wolfgang Koch},
  journal={2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)},
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. 

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