Design of fuzzy interacting multiple model algorithm for maneuvering target tracking

The IMM based tracking algorithm requires the many number of sub-models in order to have a good performance with respect to the various target maneuvering. But it is not reasonable to use the algorithm, which has more computing resource, in real system application. Therefore, we need the algorithm which has less computing resource as well as good performance. To solve this problem, we propose a fuzzy interacting multiple model algorithm (FIMMA) for a maneuvering target tracking, which use the minimum number of sub-models by considering the maneuvering property and adjust the mode transition probabilities by using the mode probability as a fuzzy input. To verify the performance of FIMMA, the airborne target tracking is performed. Simulation results show that the FIMMA is very effective in the maneuvering target tracking.