论文信息 - Target existence probability in the distributed Kalman filter

Target existence probability in the distributed Kalman filter

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.

Felix Govaers | Wolfgang Koch | Martin Ulmke | Daniel Svensson

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