According to multi-resolution analysis theory, the arithmetic of gyroscope random drift trend is put forward which is applied to time-series analysis objected to the random drift error. Then,the Autoregressive Moving-Average model is set up by Box-Jenkins method. Further more,model identification and the validity test is taken by long au-toregressive-white noise modeling method. Lastly, construct the Kalman filter to filtrate the ARMA model. The variance reduce one quantity order and the gyroscope bias offset stability improved from34. 428 ?h to 2. 34 ?h after Kalman filter,so its application precision can be further improved in practical system.%针对硅微陀螺的随机漂移误差,根据多尺度分析理论,提出了随机漂移趋势项提取算法,并应用于时间序列分析,采用波克斯-詹金斯法建立了ARMA模型.进一步采用长自回归-白噪化建模方法对模型进行了辨识和适用性检验.最后,构造Kalman滤波器对ARMA模型进行了滤波,滤波后方差减小了一个数量级,硅微陀螺原始漂移的零偏稳定性为34.428°/h,Kalman滤波后零偏稳定性为2.34°/h,有效地提高了陀螺的使用精度.
展开▼
