A Suboptimal Recursive Filter for Out-of-Sequence Measurements

In some fields such as multi-site multisensor combined tracking,sensor measurements cannot usually arrive at the center processor in order of detection time because of communications delay.This paper develops a suboptimal recursive tracking algorithm called OOSMF (out-of-sequence measurements filter) for out-of-sequence measurements.The filter has higher estimation accuracy,fewer computation costs,fewer memory requirements,and no delayed output.Simulation results verify feasibility and validity of the algorithm.