Based on analyzing “current” statistical model and its adaptive filter technique, a fuzzy adaptive maneuvering frequency (FAMF) algorithm was designed. Through fuzzy control, the maneuvering frequency parameter in the "current" statistical model was adjusted on-line so that the model adaptive ability to various target maneuvering patterns of this algorithm was greatly improved. At the given initial conditions, the Monte Carlo simulation experiments about strong maneuverable target using FAMF algorithm was carried out. The simulation results show that the FAMF algorithm with better adaptability advances "current" statistical model effectively and is convenient for application.