Research on underwater vehicles navigation system based on DVL and fiber-optic gyro

This paper researches on underwater vehicles autonomous navigation method based on DVL and fiber-optic gyro(FOG),and designs an autonomous navigation system suited to large-range operating autonomous underwater robost.Its error identification problem is discussed,and an identification algorithm based on extended Kalman filter is proposed.The stability and correctness of the algorithm is validated by lake-field test data.