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。Allan方差可以为光纤陀螺随机漂移建模提供参考。
Gyroscope random drift may deteriorate the accuracy 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 were introduced to analyze the raw FOG data. The result showed that： the angle random walk noise can be identified by all the three methods, and the angle rate random walk can only be recognized using Allan variance. The Allan vari- ance could be used for modeling the FOG random drifts.
出处
《测绘科学》
CSCD
北大核心
2012年第6期29-31,共3页
Science of Surveying and Mapping
关键词
光纤陀螺
随机漂移
ALLAN方差
功率谱密度
Fiber Optic Gyro（FOG）
random drifts
Allan variance
Power Spectral Density
