科技创新与应用2024，Vol.14Issue(26)：37-41,5.DOI:10.19981/j.CN23-1581/G3.2024.26.007
基于注意力机制与1D-CNN-Bi-GRU的MEMS陀螺仪降噪方法研究
王宁 1武雷 1强敏利 1王凯 1郭英超1
作者信息
- 1. 陕西华燕航空仪表有限公司,西安 710100
- 折叠
摘要
Abstract
In order to reduce the output signal noise of MEMS gyroscope,an error compensation method of MEMS gyroscope based on attention mechanism and 1D-CNN-Bi-GRU is proposed.Firstly,the feature of gyro time series data is extracted by 1D-CNN network,then the feature is analyzed by Bi-GRU network,and finally the data weight is distributed by attention mechanism.The experimental results show that,compared with the control method,the average noise of this method is reduced by 57.03%and 47.8%,and the noise variance is reduced by 81.07%and 73.01%,indicating that this method has certain advantages and has a better error compensation effect.关键词
MEMS陀螺仪/降噪/1D-CNN/Bi-GRU/注意力机制Key words
MEMS gyroscope/noise reduction/1D-CNN/Bi-GRU/attention mechanism分类
信息技术与安全科学引用本文复制引用
王宁,武雷,强敏利,王凯,郭英超..基于注意力机制与1D-CNN-Bi-GRU的MEMS陀螺仪降噪方法研究[J].科技创新与应用,2024,14(26):37-41,5.
