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Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance

机译:基于艾伦方差的光纤陀螺随机误差分析方法的比较

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It is an effective method to improve the performance of inertial instrument and the accuracy of inertial navigation system by analyzing the random drift of FOG (Fiber Optic Gyro). Allan variance FOG random error analysis method, through analyze and compare Allan variance of the original data, you can correctly evaluate the gyroscope performance indicators. In this paper, we introduce the several different random error analysis method of FOG based on Allan variance, and analyze the different Allan variance of the same group by writing the program, and more, compare the three common quantities of the FOG random error model. The results show that the modified Allan variance method obviously takes a lot of time in the processing time, but the "2~k" Allan variance law is calculated more quickly. In the processing effect, the modified Allan variance method can get better calculation results. In general, the "k" Allan variance method and the smooth Allan variance method are more balanced in the computational time and the computational effect. Several Allan variance methods can effectively identify the random error components of FOG, in the actual situation, according to different conditions of use to choose the appropriate treatment.
机译:通过分析光纤陀螺的随机漂移,是提高惯性仪器性能和惯性导航系统精度的有效方法。艾伦方差FOG随机误差分析方法,通过分析和比较艾伦方差的原始数据,可以正确评估陀螺仪的性能指标。在本文中,我们介绍了几种基于Allan方差的FOG随机误差分析方法,并通过编写程序分析了同一组中不同的Allan方差,并且比较了FOG随机误差模型的三个常见数量。结果表明,改进的Allan方差法在处理时间上显然要花费大量时间,但是“ 2k” Allan方差定律的计算速度更快。在处理效果上,改进的Allan方差法可以获得较好的计算结果。通常,“ k”艾伦方差法和平滑艾伦方差法在计算时间和计算效果上更加平衡。几种Allan方差方法可以有效地识别FOG的随机误差成分,在实际情况下,可以根据不同的使用条件选择合适的处理方法。

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