TRACK CORRELATION ALGORITHMS BASED ON FUZZY SYNTHETIC FUNCTION
基于模糊综合函数的航迹关联算法

This paper presents fuzzy synthetic track correlation algorithms by using the synthetic analysis method in modern mathematics. In this paper, the computation and evaluation methods of the fuzzy synthetic measure of similarity between two state estimation vectors are discussed in detail, the recursive forms of three typical fuzzy synthetic functions are derived, the fuzzy synthetic track correlation criterion is described as well. Moreover, the algorithm is compared with two classical methods through simulation. The simulation results show that the performance of the fuzzy synthetic track correlation algorithm is much better than that of the classical methods in dense multitarget environments, more cross, split and maneuvering track situations. Under above situations, its correct correlation rate is improved about 40 percent over that of the classical methods.