A tracking algorithm for maneuvering target based on intuitionistic logic inference is developed in this paper. Firstly, in order to simply the calculation, the filtering measurement innovations tacked with the innovation covariance are used as the inputs for the intuitionistic fuzzy inference system to get the matched degrees for each filtering model in the model set designed, which is to in replace of the model probability computed intricately in IMM. Secondly, by transferring the uncertainty from measurement space to intuitionistic fuzzy space, IFMMTA has improved the precision of mode inference. And at the same time, combining the intuitionistic fuzzy inference with EKF and adopting parallel dealing method makes IFMMTA more efficiency for maneuvering target real-time tracking. In the end, the performance of IFMMAT is tested via Monte Carlo simulation, which indicates that IFMMAT is better than FMMTA to reduce the position and velocity tracking error for the maneuvering target.
