A new algorithm for multiple maneuvering target tracking

In this paper, a new algorithm for multiple maneuvering target tracking is proposed. The proposed algorithm which is based on separating the multiple maneuvering target tracking into three parts-the data association, the estimation of the single target dynamic model and the estimation of the single target tracking subproblems conditional on the data association and the target dynamic model. Where the data association subproblem can be solved by the fuzzy data association, the single target dynamic model by the Rao-Blackwellized particle filter (MMRBPF) and the single target tracking by Kalman filter or extend Kalman filter. Finally, the experiment results show that the proposed algorithm can effectively track multiple maneuvering targets.