航空遥感惯性稳定平台速率环光纤陀螺仪误差建模与补偿

摘要

The time series analysis method was used to establish the model of FOG (fiber optical gyroscope), and an Saga-Husa adaptive Kalman filter based on time series analysis was designed to deal with the output signal of the gyroscope. The results of Allan variance method showed that the random error of the FOG was efficiently reduced, and the stabilized performance of the platform wasrnimproved.%针对光纤陀螺仪特点,建立了其输出信号的时间序列模型,设计了基于时间序列模型的简化Saga-Husa自适应卡尔曼滤波器,并对光纤陀螺仪的输出信号进行处理.用Allan方差对数据分析结果表明,光纤陀螺仪误差得到有效抑制,并提高了平台的稳定性能.