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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2004, Vol. 25 ›› Issue (2): 172-175.

• 论文 • Previous Articles     Next Articles

Data Association Algorithm Based on Fuzzy Synthetic Evaluation of Multiple Features in Multi-Target Passive Tracking

WANG Jie-gui, LUO Jing-qing   

  1. Electronic Engineering Institute, Hefei 230037, China
  • Received:2003-01-22 Revised:2003-04-20 Online:2004-04-25 Published:2004-04-25

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