Due to the high mobility and multistage mobility of the maneuvering targets, the singlemodel tracking algorithm is difficult to achieve accurate tracking. To solve this problem, AGIMM tracking algorithm based on fuzzy logic and maneuvering detection is proposed. Considering the slow convergence speed of the mesh model of adaptive grid interacting multiple model algorithm and the problem that the maneuvering method is too dependent on the posterior probability of the model，the algorithm introduces fuzzy control to detect the credibility of the maneuver decision. Then, the adjustment method of the model mesh is regiven by the information of maneuver detection credibility target maneuver information and the model posterior probability, which overcomes the shortcoming of the slow convergence speed of the AGIMM algorithm and achieves a fast matching between the model and the target motion mode. Simulation results show that, under different observation conditions, the position tracking error of the proposed algorithm is at least 5.6% lower than that of the AGIMM algorithm, and the position tracking error of the proposed algorithm is at least 15.1% lower than that of the fixedstructure interactive multimodel algorithm. Experimental results show thatthe proposed algorithm guarantees faster model convergence speed and large target tracking accuracy.