Abstract: At first, Kalman filter was adopted for data preprocessing of underwater vehicle’s simulation test. Then, least square support vector machines was applied to identifying the coefficients in the equations of planar maneuvering motion of underwater vehicles. The identification results were compared with those by using traditional least square method. It proves that the least square support vector machines is more effective.

Key words: Kalman filter, underwater vehicle, support vector machines, parameter identification