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The key to target tracking problem is how to find and match the motion model of target motion state. Interactive multiple model algorithm of the model set is set according to the prior information, it does not changes over time, and requires concentration at any time in the model are described target motion model. In practice, need a lot of model to describe the motion. Particle swarm optimization combined with variable structure multiple model algorithm, can not only make full use of the information system of real-time measurement, can also according to the prior information structure optimization algorithm. Simulation shows that the use of dynamic adaptive particle swarm optimization algorithm adaptive implementation model set, can improve the accuracy and real-time performance of target tracking.