| 低精度光纤陀螺随机误差的辨识与仿真 |
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| 引用本文： | 刘英华,杨化超.低精度光纤陀螺随机误差的辨识与仿真[J].测绘科学,2012,37(6):29-31. |
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| 作者姓名： | 刘英华 杨化超 |
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| 作者单位： | 1. 山东省第一地质矿产勘查院,济南,250014
2. 中国矿业大学环境与测绘学院,江苏徐州,221116 |
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| 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。
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| 关 键 词： | 光纤陀螺 随机漂移 Allan方差 功率谱密度 |
Identification and simulation of Low-precise FOG random drifts errors simulation |
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| LIU Ying-hua
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YANG Hua-chao.Identification and simulation of Low-precise FOG random drifts errors simulation[J].Science of Surveying and Mapping,2012,37(6):29-31. |
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| Authors: | LIU Ying-hua YANG Hua-chao |
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| Institution: | ②(①First Institution of Geoexplortation of Shandong Province,Jinan 250014,China;②School of Environment and Spational Informatics,China University of Mining and Technology,Jiangsu Xuzhou 221116,China) |
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| Abstract: | 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 variance could be used for modeling the FOG random drifts. |
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| Keywords: | Fiber Optic Gyro(FOG) random drifts Allan variance Power Spectral Density |
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