<FONT face=Verdana>Optimal state fusion estimate for a class of asynchronous multisensor sampled systems is considered.A unified description of measurement equations is formally completed and the idea of sequential filtering algorithm based on the order of sampled measurements is given.All asynchronous sampled measurements in one fusion cycle are left synchronously lifted

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an optimal centralized state fusion estimate algorithm which can avoid the drawback of noncausality of the right synchronously lifted system is proposed.The equivalence of estimation accuracy for the two algorithms based on right and left synchronous lifting techniques is proved.Simulation results of two multirate sampled systems are presented to verify the equivalence of estimation accuracy and to analyze the computational cost of the three algorithms.The conclusions have certain guiding significance on the practical engineering application of asynchronous multisensor optimal fusion estimation algorithms.