This paper presents two fuzzy track correlation algorithms with double threshold applying to dis tributed multisensor data fusion.In the paper

composition of fuzzy element sets

selection of membership function

dynamic assignment of weight vectors

track mass design

multivalency processing methods

fuzzy double threshold track correlation criterion and fuzzy classical assignment problem are discussed.Moreover

the algorithms are com pared with two classical methods through simulation.The simulation results show that the performance of the fuzzy double threshold track correlation algorithms is much better than tha of the classical methods in dense multitarget environments

more cross

split and maneuvering track situations.Under the above situation their correct correlation rates are improved about 35 percent over the classical methods.