A new fuzzy data association based on attribute features

摘要

For the characteristics of ballistic missiles in midcourse including dense targets, discontinuous tracks, low stability of target tracking, and so on, put forward a new fuzzy similarity association algorithm to blur the information of target attribute features obtained by radar, work out the similarity between the two targets which are observed by radar, so as to obtain a similarity matrix, and implement the target association matching in accordance with a certain decision rule. Use Monte Carlo method to verify that its accuracy is higher than the similarity association algorithm based on distance measure, and compare the influence of different number of attributes, mean values, variances and attribute weights on the accuracy of target association.