Abstract: A damping algorithm based on Kalman filter (KF) for transverse strapdown inertial navigation system (SINS) is proposed in this paper with the focus on suppressing the Schuler periodic oscillation and reducing the overshoot errors when the state of transverse SINS is switched from nondamping state to damping state. The KF error model of the transverse SINS is established, and the attitude angle errors can be estimated by KF. Then, correcting the errors of the horizontal attitude angle through feedback calibration can suppress the Schuler periodic oscillation. The simulation results illustrated that, compared with the damping algorithm base on damping network, the proposed algorithm can not only suppress the Schuler periodic oscillation but also reduce the overshoot errors when the state of transverse SINS is switching and improve the navigation performance of the shipborne SINS in polar region.

Key words: transverse coordinate system, feedback calibration, Kalman filter, damping in polar region, strapdown inertial navigation