Track Biases and Coalescence with Probabilistic Data Association

It is shown that probabilistic data association yields biased tracks in a multitarget environment, and the magnitude of the bias is investigated. A critical target separation distance exists, within which the tracks tend to coalesce completely. The problem of track initiation on new targets is also discussed.