Fuzzy adaptive interacting multiple model algorithm

A fuzzy adaptive interacting multiple model (FAIMM) algorithm is proposed. Based on fuzzy logic, some parameters in the model-set are adjusted on-line so that the model-set adaptive ability to various target maneuvering patterns of this algorithm can be greatly improved. Compared with traditional IMM algorithm, better tracking performance can be achieved by using fewer models. Furthermore, model conflicts problems that arise from traditional IMM algorithm can be avoided and computational burden can be reduced. Simulation results show that the FAIMM algorithm is more effective than traditional IMM algorithm.