Title :
Track Biases and Coalescence with Probabilistic Data Association
Author :
Fitzgerald, R.J.
Author_Institution :
Raytheon Company Missile Systems Division Bedford, MA 01730
Abstract :
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.
Keywords :
Computer aided software engineering; Distributed computing; Equations; Filters; Gain measurement; Measurement errors; Personal digital assistants; Random variables; Recursive estimation; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1985.310670
