Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking

Fuzzy logic-based interacting multiple model (FL-IMM) algorithm in target tracking is proposed for networked munitions. During the interacting stage, the difference value between the theoretical value of covariance matrix and its estimated value is used to adaptively adjust the measured error of the system. In order to fuse multi-nodes data, a FFS (fuzzy-fusion system) is proposed to obtain the target state estimation. The feasibility of the proposed algorithm is verified through a network with 3 detecting nodes. The results show that the algorithm can effectively trace the maneuvering target under the condition of sensor failure and unknown system measurement error, which means that FL-IMM algorithm has great practicability in tracking the targets by the ground networked munition multi-nodes.