中文摘要：

陀螺随机漂移是影响惯性导航和组合导航精度的重要因素。为了有效辨识出光纤陀螺随机漂移噪声的参数，采用了自相关函数、功率谱密度和Allan方差对实测陀螺数据进行分析。实验结果表明：自相关函数、功率谱密度和Allan方差都能有效辨识出陀螺输出信号中的角度随机游走噪声，只有Allan方差能辨识出其中的角速率随机游走噪声。功率谱密度求取的角度随机游走参数为0．0688°／h1/2，Allan方差拟合得到的角度随机游走参数为0．0447°／h1/2，接近仪器标称精度。Allan方差可以为光纤陀螺随机漂移建模提供参考。

英文摘要：

Gyroscope random drift may influence the precision of the inertial navigation and GPS/INS integrated navigation. In order to effectively identify the parameters of random drifts of fiber optic gyro （ FOG ）, the autocorrelation function ,power spectral density（PSD） and Allan variance are introduced to analyze the raw FOG data. The result shows that the angle random walking noise can be identified by all the three methods, and the angle rate random walking can only be recognized using Allan variance. The angle random walking parameter of PSD is 0. 0688°/h1/2 ,and the same one of Allan variance is 0. 0447°/h1/2. The result of PSD and Allan variance are similar to the parameters of specifications. The Allan variance could be used as referenee for the FOG random drifts.