Large amount of experiment results show that the temperature change is one of the most important factors which affect the gyroscope error. In order to suppress the effect of temperature changes on gyro error, the temperature model is identified from the experiment data and the corresponding temperature compensation model is derived to compensate the temperature change. Kalman filter is used to reduce the temperature measurement noise, which improves the stability of the gyroscope effectively.