Target existence probability in the distributed Kalman filter
Daniel Svensson, Felix Govaers, Martin Ulmke, Wolfgang Koch · 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.