摘要
为解决Allan方差在长相关时间上存在估计误差较大的问题,根据光纤陀螺随机误差信号的频率特性,提出了采用总方差来对光纤陀螺的随机误差特性进行分析的方法.用模拟的光纤陀螺各项随机噪声对Allan方差和总方差方法进行了比较仿真研究,并利用总方差方法分析和辨识了光纤陀螺实际测试数据中随机噪声的类型和噪声水平.试验结果表明在长相关时间上,总方差的值和实际的幂律谱噪声的行为特征是一致的;在平均因子较大的情况下,总方差能够有效地提高方差估计值的置信度,估计精度优于Allan方差分析方法.
To solve the problem that the estimation error of Allan variance is great at long-term z-values, according to the frequency properties of the FOG random errors, a method for characterizing the random errors based on Total variance is presented. The estimation performance is compared between Allan variance and Total variance with the simulated random errors. The noise types and levels of the measured FOG signal are analyzed and identified with the Total variance method. The experimental results show that, the values of Total variance are consistent with the actual power-law noise at long-term z-values. It can efficiently improve the confidence in the case of great mean index, and its estimation performance outperforms that of Allan variance.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2007年第5期708-711,共4页
Journal of Harbin Institute of Technology
作者简介
韩军良（1979-），男，博士研究生；
沈毅（1965-），男，教授，博士生导师．
