Modeling and filtering of fiber optic gyroscope random drift
Deng Ya-qi · Modern Electronics Technique · 2013
The random drift of fiber optic gyroscope(FOG) is the main error source of the strapdown inertial navigation system(SINS).The random error of FOG should be modeled accurately to reduce FOG′s random error and improve its precision.According to the theory of the time series analysis,FOG′s random error model was build with autoregression AR model method.Based on this model,FOG′s random error was filtered with Kalman filtering algorithm.The filtering and Allan variance analysis results proved that the FOG′s random error after filtering was obviously reduced and the FOG precision was improved effectively.