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半重叠总方差法在惯性传感器随机误差分析中的应用
引用本文:孙越芳.半重叠总方差法在惯性传感器随机误差分析中的应用[J].大地测量与地球动力学,2017,37(4):394-396.
作者姓名:孙越芳
摘    要:针对总方差法在分析随机误差时计算时间较长的问题,从Allan方差和完全重叠Allan方差入手,提出3种数据采样方式,并在此基础上构造了半重叠总方差法。通过光纤陀螺惯组的静态实验验证算法的有效性,结果表明,半重叠总方差法与总方差法分析精度一致,而运算时间大为缩短。

关 键 词:分析精度  计算时间  采样方式  半重叠总方差法  随机误差  

Random Error Analysis of Intertial Sensor Based on Half Overlapping Total Variance
SUN Yuefang.Random Error Analysis of Intertial Sensor Based on Half Overlapping Total Variance[J].Journal of Geodesy and Geodynamics,2017,37(4):394-396.
Authors:SUN Yuefang
Abstract:It is imperative to consider analysis accuracy and computational time of every algorithm. When it is used to analyze random error, the computational time of total variance is very long. Aimed at this problem, this essay analyzes the Allan variance and the total overlapping Allan variance approaches. Three sampling modes are put forward. We find the origin of long computational time of total variance, based on which half overlapping total variance is proposed. Finally, the new algorithm is tested with a static experiment of inertial measurement unit including optic-fiber gyro. The result shows that analysis accuracy of half overlapping total variance is the same as with total variance, but computational time of half overlapping total variance is less than total variance.
Keywords:analysis accuracy  computational time  sampling mode  half overlapping total variance  random error  
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