The questions of static fusion and computational amount are analyzed in the current fusion algorithm.A multi-sensor data fusion algorithm based on redundant information is presented.The estimations of local state are obtained firstly by using strong track filter algorithm.Then

according to the redundant information among the estimation of local state

the credibility of local state itself is judged

which carries out the dynamic and reasonably distribution of the weight value.Finally

the Monte-Carlo simulation shows the efficiency of this algorithm analysis.