Abstract: The interacting multiple model (IMM) algorithm is an effective solution to maneuvering target tracking. However, its performance depends on the type, number, and parameters of the models. An interacting multiple model algorithm is proposed, which is based on the improved current statistical model. The improved current stat istical model can improve the capacity for tracking maneuvering target, and the constant velocity model has a good performance on tracking constant speed target, so the IMM algorithm can adaptively estimate the state of the target by using the two models. Moreover, with the adaptive Markov transition probability technique, the transition matrix can be modified in real time according to the measurements, which reduces the influence of human factors. Finally, Monte Carlo simulation results show the effectiveness of the proposed algorithm.