Abstract：The EM algorithm, as an iterative numerical tool for computing maximum likelihood (or MAP) parameter estimates for incomplete data problem, has been used in area of target tracking, particularly in passive tracking and scenario in which real-time processing is unnecessary. As an extension of .Johnston’s recent work, a recursive algorithm for tracking maneuvering targets in clutter, which based on AECM algorithm, is developed in this paper. In this algoritlim, model posterior probability and data association probability are computed via HMM filter respectively. Computer simulation indicates that performance of the algorithm is comparable with that of IMM-PDA, and the algorithm is valid.
2004, Vol. 26 
