关键词: 无源跟踪, 特征数据, 模糊评估, 数据关联

Abstract: A new data association algorithm based on fuzzy synthetic evaluation of multiple features in multi-target passive tracking is proposed in this paper. Based on the association factor models, the fuzzy association degree of all the effective observations within the single tracking gate is calculated by fuzzy evaluation of multiple features. Further, the fuzzy association degree of all the targets is calculated by fuzzy synthetic evaluation. At last, the decision of data association is made. Because of the utilization of more features of the target, the proposed algorithm is superior to the NN method, and the association error ratio is decreased about 15%, which is proven with the help of computer simulation.

Key words: passive tracking, feature data, fuzzy evaluation, data association