光纤陀螺随机漂移ARMA模型研究

从理论上证明了山多个ARMA过程组成的平稳随机过程，可以南一个等效ARMA模型描述，并推导废模型的数学表达式。提出了一种新的平稳随机过程建模的有效方法，并应用于光纤陀螺随机漂移建模。采用功率谱密度分析光纤陀螺随机漂移组成，从而确定随机漂移的ARMA模型的形式和阶数。通过对实际光纤陀螺数据分析和建模，利用所得随机漂移模型对陀螺输出数据补偿，检验模型的适用件。结果表明废建模方法正确町行，采用该方法建立的光纤随机漂移模型具有很好的适用性，可以有效抑制光纤陀螺随机漂移。

Study on Modeling and Identification of Random Drift for FOG

In this paper,It is proved that a mixture of random noises can be represented by a signle equivalent ARMA(autoregressive moving average)model that is simple to implement.The method may be used for random errors modeling.We applied the scheme to model Fiber optic gyro(FOG)random errors.The components of random drift of FOG is analysised with PSD.An identification result from real test data confirms the validity of this approach.the output of FOG is compensated with the model.and the validity of the model is tested.It is shown that the result is greatly improved,and the random drift of the FOG is efficiently reduced.