微型机与应用2016，Vol.35Issue(24)：81-83,3.DOI:10.19358/j.issn.1674-7720.2016.24.023
基于DSP的MEMS陀螺误差建模与滤波方法研究∗
Research on error modeling and filtering method of MEMS gyroscope based on DSP
摘要
Abstract
For the problem of low accuracy and complex random noise of MEMS gyroscope, according to the measured data of MEMS gyroscope, the noise characteristics are analyzed, and the MEMS gyro’ s drift model is designed. Time series analysis method is used. MEMS gyro noise measurement data are analyzed using AR model. Kalman filtering is adopted to decrease the effect of random noise of MEMS gyroscope, based on the AR model. The measured data of MEMS gyroscope simulation test results show that the proposed modeling and filtering method can ef-fectively restrain the noise error and improve the measuring precision in practical application.关键词
MEMS陀螺/AR模型/Kalman滤波/陀螺噪声Key words
MEMS gyroscope/AR model/Kalman filter/gyroscope noise分类
信息技术与安全科学引用本文复制引用
王昌刚,刘强,刘晓川..基于DSP的MEMS陀螺误差建模与滤波方法研究∗[J].微型机与应用,2016,35(24):81-83,3.基金项目
国家自然科学基金(61305050) （61305050）
