Study on Modeling and Filtering of the Fiber Optic Gyroscope Random Drift
YI Lina · Piezoelectrics and Acoustooptics · 2011
The time series model is an important modeling approach of the FOG random drift.The conventional time series modeling approach is difficult to be applied in real-time condition,and has the feature of low accuracy.To overcome these problems,an improved Autoregressive Integrated Moving Average(ARIMA) model which can be applied to the modeling of high-precision FOG's random drift has been presented,and the real time Kalman filter has been fabricated based on the model.The experimental results indicated that the improved ARIMA model was able to describe the random drift of FOG quite accurately;Allan variance analysis indicated that,comparing with the Kalman filter based on the Auto-Regressive and Moving Average(ARMA) model,the Kalman filter based on the improved ARIMA model had reduced the main random drift error of FOG more efficiently.