Error modeling and Kalman filtering method for MEMS gyroscope is discussed in this paper. Raw data has been pretreated and make it to be zero-mean, smoothly and normality random time series. Mode of time series is established Using Kalman filter. Simulation result shows that this method can improve gyro precision usefully, which can be used for certain engineering practicability.