半重叠总方差法在惯性传感器随机误差分析中的应用

发布时间：2018-05-02 10:42

  本文选题：分析精度 + 计算时间　； 参考：《大地测量与地球动力学》2017年04期

【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。
[Abstract]:In order to solve the problem that the calculation time of total variance method is longer when analyzing random error, starting with Allan variance and completely overlapping Allan variance, three data sampling methods are proposed, and a semi-overlapping total variance method is constructed. The validity of the algorithm is verified by the static experiment of the fog inertial system. The results show that the semi-overlapping total variance method has the same accuracy as the total variance method and the calculation time is greatly shortened.
【作者单位】： 贵州工业职业技术学院电子与信息工程学院;贵阳护理职业学院信息中心;
【基金】：贵州省科技厅联合基金(黔科合LH字【2015】7179号)~~
【分类号】：P207.1
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本文编号：1833547