摘要
针对卡尔曼滤波在陀螺漂移传统时序模型滤波分析上的不足,在对光纤陀螺随机漂移建模分析的基础上,采用H∞滤波对时序模型进行滤波处理,实验结果表明,在系统噪声特性未知的情况下,H∞滤波较好地改善光纤陀螺零偏稳定性,是一种行之有效的滤波处理方法。
Aiming at the shortage of the Kalman Filter applying in the traditional time series model of the gyro, a method is introduced based on the modeling and analysis of the Fiber Optic Gyroscope （FOG）’s random drift, which disposes the time series model with the H∞ Filter. It suggests that the H∞ Filter can improve the bias stability of the FOG and serve as an efficient filter for an unknown noise case of the system.
出处
《导弹与航天运载技术》
北大核心
2014年第2期52-53,70,共3页
Missiles and Space Vehicles
关键词
H∞滤波
AR建模
光纤陀螺
随机漂移
H∞ Filter
AR modeling
Fiber optic gyroscope
Random drift
