Multiple Target Tracking and Multiple Frequency Line Tracking Using Hidden Markov Models

Abstract

This paper considers the application of hidden Markov models (HMM’s) to the problem of multitarget tracking, specifically, to the problem of tracking multiple frequency lines. The idea of a mixed track is introduced, a multitrack Viterbi algorithm is described, and a detailed analysis of the underlying Markov model is presented. Simulations show that in some cases, it is possible to avoid data association and directly compute the maximum a posteriori “mixed” track. Some practical aspects of the algorithm are discussed and simulation results presented. © 1991 IEEE