电子器件2018，Vol.41Issue(3)：730-733,4.DOI:10.3969/j.issn.1005-9490.2018.03.035
基于Kalman滤波器的MEMS陀螺随机误差分析与建模补偿
Random Error Analysis and Compensation of MEMS Gyroscope Based on Kalman Filter
摘要
Abstract
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.关键词
MEMS陀螺/随机漂移/Kalman滤波器/ARMA模型/Allan方差Key words
MEMSgyroscope/random drift/KF/ARMA model/Allan variance分类
交通工程引用本文复制引用
张晓峰,张加书,包旭馨,蒋孝勇,李孟委..基于Kalman滤波器的MEMS陀螺随机误差分析与建模补偿[J].电子器件,2018,41(3):730-733,4.基金项目
武器装备预研基金项目( 9140A20040515BQ04283,9140A17060115BQ04241) （ 9140A20040515BQ04283,9140A17060115BQ04241）
