MEMS gyro random drift is the main cause of MEMS inertial navigation accuracy. In order to improve the accuracy of MEMS gyroscope,the ARMA model of gyroscope is established by time series analysis method. Then the linear KF(Kalman Filter)is used to process the gyro random signal. The MEMS gyro component is built,and the three axis turntable experiment is carried out,and the gyro signal is processed by KF. Allan variance analysis shows that the zero bias instability is improved by 18.7％ after linear KF filtering.%MEMS陀螺随机漂移是影响MEMS惯性导航精度的主要原因.为提高MEMS陀螺使用精度,通过时间序列分析方法,建立MEMS陀螺角速率信号ARMA模型,进而利用线性KF(Kalman Filter)滤波方法处理陀螺角速率信号.通过搭建MEMS陀螺组件,进行三轴精密转台实验,将得采存陀螺信号进行KF滤波处理.利用Allan方差分析滤波前后MEMS陀螺角速率信号,结果表明陀螺仪零偏不稳定性经KF滤波后提升18.7％.
展开▼
