To solve the problems of low ADS-B trajectory tracking precision and low matching efficiency between the target tracking model and the target motion model, the adaptive algorithm is used to improve the motion model set of the classic IMM algorithm. The uniform accelerated motion (CA) model in the standard IMM motion model set is improved to the “current” statistical (CS) model and the modified turn (MCT) model. The improved model set is used to filter the target's current position,velocity, and acceleration.The model transition probability is revised, so as to improve the adaptive ability of the IMM algorithm and realize rapid target tracking.The simulated track data and the measured data received by actual equipment are both used to verify the algorithm. The experimental results show that the improved IMM algorithm based on the motion model set has better filtering results than the classic IMM algorithm, and the tracking results are stable, which can adapt to the real-time tracking of complex target tracks.