In the Interacting Multiple Model (IMM) algorithm based on a current statistical model,the current model probability can not easily be decided,and the system parameters amax and a-max can not be adaptively adjusted.In order to overcome the above disadvantages,an IMM algorithm based on current statistical model is presented with adaptive fuzzy logic.The working principle of the algorithm is introduced,and basic steps are given.Then,a modified IMM algorithm based on current statistical model is presented with adaptive fuzzy logic.The selection probability of the modified model is given by fuzzy inference to improve the tracking speed,and the design parameters of the modified algorithm are optimized with an ant algorithm to improve the tracking precision.Finally,the modified IMM model is used to simulate maneuvering targets.The experimental results indicate that the modified algorithm can improve the tracking precision by 20%,and the simulation time of one maneuvering tracking process is 0.047 s,which can satisfy the system requirements of fast tracking and high precision.