%0 Journal Article
%T 三轴MEMS加速度计的最大似然校正算法
%A 陆欣
%A 刘 忠
%A 张宏欣
%A 贺静波&lt
%A /br&gt
%A LU Xin
%A LIU Zhong
%A ZHANG Hongxin
%A HE Jingbo
%J 国防科技大学学报
%D 2017
%R 10.11887/j.cn.201705029
%X 加速度计是惯性导航系统的重要测量元件，而由于制造工艺及各类传感器误差，低成本加速度计很难达到要求的精度, 因此需要对其进行校正。提出一种基于最大似然估计的加速度计自校正算法。综合考虑加速度计零偏、比例误差、非正交误差、安装误差与测量噪声, 建立了传感器误差模型。在此基础上, 将加速度校正问题转化为校正参数的最大似然估计问题。通过数值仿真和实测试验验证, 表明算法具有较高的参数估计精度, 能够有效地对上述因素引起的误差进行校正。</br>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.
%K 最大似然估计 传感器校正 微电子机械系统 三轴加速度计&lt
%K /br&gt
%K maximum likelihood estimation sensor calibration micro-electromechanical system triaxial accelerometer
%U http://journal.nudt.edu.cn/gfkjdxxb/ch/reader/view_abstract.aspx?file_no=201705029&flag=1