Abstract：This paper presents two binary track correlation algorithms applying to distributed multisensor data fusion. In the paper, these two binary track correlation criteria are described in detail,and track correlation mass design, multivalency processing methods and miss correlation probability estimation methods are discussed as well. Moreover, they are compared with two classical methods through simulation. The simulation results show that the performance of the two binary track correlation algorithms is much better than that of the classical methods in dense multitarget environments, more cross, split and maneuvering track situations. Under above situation their correct correlation rate is improved about 35 per cent over teh classical methods.
1997, Vol. 19 
