Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets.So it may be difficult to meet all maneuvering conditions.The Fuzzy inference combined with Current statistical model is proposed to cope with this problem.Given the error and change of error in the last prediction,fuzzy system on-line determines the magnitude of maximum acceleration to adapt to different target maneuvers.Furthermore,in tracking problem many measurement equations are non-linear.Unscented Kalman filter is applied instead of extended Kalman filter.The Monte Carlo simulation results show that this method outperforms the conventional tracking algorithm based on current statistical model in both tracking accuracy and convergence rate.

AFuzzyAdaptiveTrackingAlgorithmBasedonCurrentStatisticalModel.kdh

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