基于自回归与最小均方理论的振动环境下 光纤陀螺仪滤波方法

针对振动应力下光纤陀螺产生测量误差增大的问题,从振动对光纤环的影响机理出发,分析了振动应力下光纤陀螺干涉信号的表现形式,提出了基于自回归最小均方滤波理论的光纤陀螺滤波方法,将AR模型的平稳性和最小均方根滤波的自适应性相结合,提取平稳数据的特性参数,对高频信号进行滤波,降低非互易相移产生陀螺角速度误差值的干扰.试验表明,该方法简单可行,有效地降低了振动应力下光纤陀螺输出信息的噪声,抑制了由振动引起的陀螺漂移.

Study on Self-regress and Least Mean Square Filter of Fiber Optic Gyroscope Based on Vibration Stress

Aimed at the problem of vibration can cause measure error and make the signal noise increases. From the mechanism of the impact on the light path which caused by vibration, the signal form of the light path under the influence of vibration is analyzed, a principle that could inhibit the light path signal noise base on least mean square filter algorithm, reducing interference from non-reciprocal phase shift gyro angular velocity error value.The simulation shows that the method is effective, by using this method can effectively restrain the error and noise caused by vibration.