This paper presents two sequential track correlation algorithms applying to distributed multisensor data fusion. These two sequential track correlation criteria are dented and described in detail

and track correlation mass and multivalency processing methods are discussed aswell. Moreover

they are compared with two classical methods through simulation. The simulationresults show that the performance of the two sequential track correlation algorithms is much betterthan that of the classical methods in dense multitarget environments

more cross

split and maneuvering track situations. Under the above situations

their correct correlation rate is improved about30 percent over the classical methods.