Investigation of random error model for fiber optic gyroscope
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摘要: 陀螺仪的工作精度决定着惯性参考系统的精度,为了减小陀螺仪的误差并提高其精度,需要对陀螺仪误差进行估计与精确建模.提出应用ARMA,Allan方差分析法及功率谱密度PSD(Power Spectrum Density)分析法联合对光纤陀螺FOG(Fiber Optic Gyroscope)的误差特性及建模技术进行了研究.利用Allan方差及PSD分析法对光纤陀螺输出信号的分析,有效地分离并确定影响光纤陀螺输出性能的几种主要随机误差源,并对所建立的光纤陀螺ARMA模型和AR模型的精度进行了评估.对光纤陀螺实测数据的分析表明Allan方差分析法与PSD分析法对光纤陀螺噪声分析结果具有一致性,时序ARMA模型是建立光纤陀螺随机误差模型的一种有效方法.Abstract: The performance of gyroscope decides the accuracy of inertial reference system. In order to diminish the error of the gyroscope and to improve its precision, the gyroscope′s error model was accurately founded. Methods of PSD(power spectrum density), ARMA, and Allan variance were federally used to study of the error speciality and modeling technology of the FOG(fiber optic gyroscope). The Allan variance and PSD were utilized to analyze the output of the FOG, and some main noise of the fiber optic gyroscope could be extracted and confirmed, then the performance of ARMA and AR of the FOG was evaluated. By analyzing the practical data of the FOG, it is shown that Allan variance and PSD are identical with analyzing the error of the fiber optic gyroscope, and ARMA is an effective method to found the random error model for the fiber optic gyroscope.
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Key words:
- fiber optic sensors /
- random errors /
- error statistics /
- model analysis
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