舰船电子工程2019，Vol.39Issue(8)：76-78,90,4.DOI:10.3969/j.issn.1672-9730.2019.08.019
MEMS陀螺随机误差建模及补偿应用研究
Research on Modeling and Compensation Application of MEMS Gyro Stochastic Error
于周吉 1傅军 2韩洪祥2
作者信息
- 1. 海装装备项目管理中心 北京 100161
- 2. 海军工程大学电气工程学院 武汉 430033
- 折叠
摘要
Abstract
In order to reduce the influence of stochastic error on the output signal of MEMS gyro,an ARMA model combined with Kalman filter is proposed. The method is used to realize the Random error of MEMS gyro of the compensated. The stochastic er?ror of MEMS gyro is analyzed by Allan variance method,and the stochastic error of MEMS gyro is used by time series Analysis meth?od. The analysis and modeling are carried out,and the Kalman filter is designed for filtering processing and compensation. The ex?perimental results show that the ARMA model combined with Kalman filtering method to the MEMS of two sensors the stochastic er?ror filtering effect of gyro is obvious,and it has a good filtering effect on the stochastic noise of MEMS gyro under the premise of en?suring unbiased estimation.关键词
MEMS陀螺/Allan方差/ARMA模型/Kalman滤波/随机误差Key words
MEMS gyro/Allan variance/ARMA model/Kalman filter/random error分类
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于周吉,傅军,韩洪祥..MEMS陀螺随机误差建模及补偿应用研究[J].舰船电子工程,2019,39(8):76-78,90,4.
