一种光纤陀螺漂移数据建模和滤波技术在捷联罗经法自对准中的应用

针对基于高精度光纤陀螺仪(FOG)的捷联惯导系统开展研究.采用时间序列分析法对光纤陀螺随机漂移进行分析,建立自回归滑动平均(ARMA)模型,并在捷联惯导系统罗经法自对准过程中对光纤陀螺漂移数据进行实时滤波估计.样机实验结果表明,所提出的方法可以有效地提高光纤陀螺捷联惯导系统罗经法自对准的精度.

Modeling and filtering of FOG drift data and its application in SINS gyrocompass self-alignment

The fiber optic gyro(FOG) strapdown inertial navigation system(SINS) is researched. Auto-regressive moving average(ARMA) model is built for modeling stochastic errors in FOG by using time series analysis method. The FOG stochastic model is realized in SINS self-alignment. Real-time filtering of FOG stochastic error is realized in the process of SINS gyrocompass self-alignment. The prototype test results show that the proposed method can effectively improve the accuracy of FOG SINS gyrocompass self-alignment.