LI Xue-lian, SUN Yao, MO Hong-wei. Research on null drift fusion filtering algorithm of micro inertial sensors[J]. 2009, 28(6): 50-52+58. DOI: 10.13873/j.1000-97872009.06.009.
微惯性传感器零点漂移融合滤波算法研究
摘要
为提高微惯性传感器的测量精度
提出了基于指数平滑的GM(1
1)改进模型
通过该模型对漂移中的确定性漂移信号进行提取
运用AR(3)模型对提取趋势项后的随机漂移进行了建模分析
并在AR(3)模型基础上进行了Kalman滤波处理
经Allan方差分析表明:经模型补偿后的漂移噪声降低了1
3
个数量级
有效减小了零漂信号中的角度随机游走、角速度随机游走、速率斜坡、零偏不稳定性和量化噪声
提高MEMS陀螺零漂输出的稳定性。
Abstract
Certainty trend terms in drifting are abstracted based on GM(1
1) improved model
and modeling analysis is done on the stochastic drift using AR(3) model.
the stochastic drift signals are processed using Kalman filter.Allan variance analysis shows that the drift noises after compensation of GM-AR models are greatly reduced.Measurement results with higher precision can be obtained in practical application by using the method mentioned above.The angle random walk
rate random walk
rate ramp
the bias instability and quantization noise are decreased
and the stability of MEMS gyro drift output is improved.