Aiming at the disadvantages of the traditional direct weighted fusion algorithm, the thesis carries out the integration study of multi-platform multi-objective location data. Through design of the statistical weighting algorithm based on BP neural network, the data fusion model will be established. With the examples of two observation platforms, the target track data simulation during 1 minute will be followed. The results show that the algorithm is effective, feasible, and of higher accuracy, correlating effectively the fusion of information obtained from the fusion center on the destination track association data.