国防科技大学学报2017，Vol.39Issue(5)：185-191,7.DOI:10.11887/j.cn.201705029
三轴MEMS加速度计的最大似然校正算法
Maximum likelihood calibration for MEMS triaxial accelerometer
摘要
Abstract
Accelerometer is one of the fundamental measurement units of inertial navigation system.It is difficult to meet the precision requirement for low-cost accelerometer due to the manufacturing process and all kinds of sensor errors.Calibration for accelerometer is essential before being used.Therefore,an accelerometer self-calibration algorithm based on maximum likelihood estimation was proposed.The sensor errors model was established by taking comprehensive consideration of zero bias,scale errors,non-orthogonal errors,installation errors and measurement noise of the accelerometer,based on which the calibration problem of accelerometer was transformed into maximum likelihood estimation problem of calibration parameters.The self-calibration algorithm based on maximum likelihood estimation was tested by both numerical simulation and real data experiment.The result shows the maximum likelihood estimation algorithm has a high precision of parameters estimation and can calibrate the errors caused by factors mentioned above effectively.关键词
最大似然估计/传感器校正/微电子机械系统/三轴加速度计Key words
maximum likelihood estimation/sensor calibration/micro-electromechanical system/triaxial accelerometer分类
军事科技引用本文复制引用
陆欣,刘忠,张宏欣,贺静波..三轴MEMS加速度计的最大似然校正算法[J].国防科技大学学报,2017,39(5):185-191,7.基金项目
国家部委基金资助项目(9140A01010415JB11002) （9140A01010415JB11002）
