To resolve the multisensor multiplied maneuvering target tracking problem

a new algorithm is proposed.Firstly

multiple tracking models are set and the synthesis similar degree between measurement and prediction is calculated with applying method of the fuzzy mathematics.Then

association probability can be calculated with using the threshold distinction principle and experiential probability principle

and the state estimation and estimation covariance is updated for each target with applying the association probability.Finally

each model probability is calculated and the ultimately state estimation of each target is calculated in fusion center.Some typical simulations are used to compare the performance of this centralized interacted multiple model multisensor fuzzy joint probabilistic data association (CIMM-MSFJPDA) algorithm proposed here with the centralized interacted multiple model multisensor joint probabilistic data association (CIMM-MSJPDA) algorithm

and results show that the tracking precise of CIMM- MSFJPDA algorithm is better than that of CIMM-MSJPDA algorithm

and the computational burden of CIMM-MSFJPDA algorithm is much lower than that of CIMM-MSJPDA algorithm.Therefore

the synthesis performance of CIMM-MSFJPDA algorithm is better that of CIMM-MSPDA algorithm.