Aiming at the problems that the laser gyro strapdown inertial navigation system is independent on the correction of the external information and the cumulative amplification for long time operation,an adaptive zero velocity correction method is proposed by analyzing the common zero velocity correction algorithms of the twice curvefitting method,least square method and Calman filtering method as well as combining the practical applications of vehicleborne laser gyro strapdown inertial navigation system.Fifteen basic error parameters are constructed by making use of the constraint condition of zero velocity correction technology.According to the error characteristics of the system itself,the state measurement matrix and measurement equations of the system are designed,and observability analysis of the system states is carried out based on the observable theory of the general condition number to determine the parameters of the Kalman filter so as to realize the position coordinates,attitude angle and velocity error are effectively estimated, which can effectively improve the navigation accuracy of IMU.The experimental results show that this method can effectively improve the navigation precision of strapdown inertial navigation system,which not only overcomes the frequent parking,but also enhances the maneuverability of the carrier.