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Fuzzy Double-Threshold Track Association Algorithm Using Adaptive Threshold in Distributed Multisensor-Multitarget Tracking Systems

The fuzzy double-threshold track association algorithm using the adaptive threshold (AT-FDTTA) is presented in this paper. The AT-FDTTA is described in detail at first. Then, the simulations of two different cases are designed to illustrate the improved performance caused by the adaptive threshold. Both the simulation results show that the correct association rate of the AF-FDTTA proposed here is higher than that of the fuzzy double-threshold track association algorithm with the fixed threshold (FT-FDTTA) algorithm, Besides, the AT-FDTTA is with lower missing association rate. Moreover, the high performance of the AT-FDTTA is not sensitive to other parameter values in the algorithm, which are usually chosen empirically by the users.