The fuzzy adaptive filtering algorithm based on current statistical model(FACS) can not predict strong maneuvering targets precisely,though it has a good prediction accuracy for general maneuvering targets by using current acceleration to adjust the upper and lower limits of acceleration.In order to solve this problem,a new adaptive filtering algorithm STF-FACS was presented by introducing a strong track filter(STF).This algorithm,using filtering residual to adjust the kalman filter gain,can predict strong maneuvering targets well,and has a good performance for predicting general maneuvering targets as the algorithm FACS.Finally, strong maneuvering targets are divided into linear maneuvering targets and turning maneuvering targets,and track prediction simulations about them are did.Simulation results show that,when there is a feeblish maneuver,the performance of the two algorithms is the same.when there is a strong maneuver,the performance of the STF-FACS is much better than the FACS in both convergence rate and prediction accuracy.