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基于AR模型的MEMS传感器误差建模及分析

程果

船电技术2026,Vol.46Issue(1):23-28,6.
船电技术2026,Vol.46Issue(1):23-28,6.

基于AR模型的MEMS传感器误差建模及分析

Error modeling and analysis of MEMS sensor based on AR model

程果1

作者信息

  • 1. 湖南中森通信科技有限公司,湖南 长沙 410006
  • 折叠

摘要

Abstract

Inertial sensor based on microelectromechanical system(MEMS)with its advantage of low cost,low power consumption and small volume is widely used,low-cost inertial sensor maked the MEMS/GNSS integrated navigation systems have a great space of development.Compared with the GNSS,MEMS had better performance in the face of signal interference,however,the MEMS gyroscope and accelerometer precision often effected by gyro and acceleration measurement error.In order to reduce the error of the effects,and improve the accuracy of integrated navigation,autoregressive process(AR)model is used to reduce the random error of MEMS sensor,and through extended Kalman filter to improve the precision of MEMS/GNSS integrated system,finally theoretical model was validated by the experimental data,which obtained a good effect.

关键词

组合导航/MEMS/随机误差/AR模型

Key words

Intergrated navigation/MEMS/random error/AR model

分类

航空航天

引用本文复制引用

程果..基于AR模型的MEMS传感器误差建模及分析[J].船电技术,2026,46(1):23-28,6.

船电技术

1003-4862

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