Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition

Wang Wei; Chen Xiyuan

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Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition

机译：光纤陀螺温度漂移的多尺度建模基于改进的集合经验模式分解

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Temperature drift is a major error source of the fiber optic gyroscope (FOG), and the method of modeling is important in eliminating it. A method of multiscale modeling based on improved ensemble empirical mode decomposition (EEMD) is proposed in this paper. First, in order to improve the ability of eliminating mode mixing, the influence of the frequency of the masking signal on mode mixing is analyzed. Then we conclude that the frequency of the masking signal should be higher than that of the signal, and an improved EEMD is proposed based on the conclusion. Second, the temperature drift of FOG is filtered by applying the permutation entropy to the intrinsic mode functions (IMFs). Third, the IMFs are divided into several scales according to the mean value and the distribution of instantaneous frequency of IMFs. Finally, the algorithm of the support vector machine is used to model each scale, and the models are accumulated into a total model. The regression error after compensation of the proposed method (in the case of the mean squared error indicator) increased by more than two orders of magnitude compared to the original temperature drift. (C) 2018 Optical Society of America

机译：温度漂移是光纤陀螺（雾）的主要误差源，建模方法对于消除它很重要。本文提出了一种基于改进的集合经验模型分解（EEMD）的多尺度建模方法。首先，为了提高消除模式混合的能力，分析了掩蔽信号频率对模式混合的影响。然后，我们得出结论，掩蔽信号的频率应高于信号的频率，并且基于结论提出了一种改进的EEMD。其次，通过将置换熵应用于内在模式函数（IMF），过滤雾的温度漂移。第三，根据平均值和IMF的瞬时频率分布，IMF分为几个尺度。最后，支持向量机的算法用于建模每种比例，并且模型累积到总模型中。与原始温度漂移相比，补偿所提出的方法（在平均平均误差指示器的情况下）的回归误差增加了两个以上的数量级。（c）2018年光学学会

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《Applied optics》 |2018年第28期|共8页
作者
Wang Wei; Chen Xiyuan;
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Southeast Univ Minist Educ Sch Instrument Sci &

Engn Key Lab Microinertial Instrument &

Adv Nav Techno Nanjing 210096 Jiangsu Peoples R China;

Southeast Univ Minist Educ Sch Instrument Sci &

Engn Key Lab Microinertial Instrument &

Adv Nav Techno Nanjing 210096 Jiangsu Peoples R China;

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Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition

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