Data Fusion for Multi-sensor Tracking Moving Targets on Expressway

For the existing problems in multi-sensor data fusion algorithm,the multi-sensor data fusion algorithm based on redundant information was advanced.The advantages of distributed fusion structure and strong tracking filtering to estimate the local state of moving target were used in the algorithm.The mutual support degree among estimated value of local state was found by extracting redundant information existed among estimated values of local states.Then,the dynamic distribution of weight coefficients was realized properly.The results of theoretical analysis and Monte-Carlo simulation indicate that(1) the algorithm is prior to the way by using the single-sensor for the estimated effect of data fusion,the algorithm is effected less by outside random disturbance;(2) it has more high reliability by distributed fusion structure and strong tracking filtering to estimate the local state of moving target,and the algorithm based on redundant information is very robust.