An innovative snakelike terminal maneuvering trajectory model of anti-ship missiles, in which the missiles are regarded as controllable mass points and can be tracked by passive sensors, is introduced to compete with the continuous penetrating enhancing of modern anti-ship missiles by adopting dynamic modeling method. A novel adaptive unscented Kalman filter algorithm based on the fuzzy control interacting multiple algorithm is proposed. The proposed algorithm can achieve the real-time adjustment of the matrix of transition probability, faster convergence rate due to the fuzzy control and state error covariance adaptive algorithm which is based on the principle of Sage-Husa noise statistical estimator. Simulation results verify the ballistic model is established for the detection, recognition and tracking of anti-ship missile technology research has certain reference value. Besides, the improved tracking algorithm can quickly adjust the probability model to bring about faster convergence speed and better robustness, which can effectively reduce the error of bearing-only target tracking and can achieve the stability and reliability of the snakelike terminal maneuvering trajectory model of anti-ship missiles.