A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope

A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope

Low-cost inertial measurement units (IMUs) based on microelectromechanical system (MEMS) have been widely used in self-localization for autonomous robots due to their small size and low power consumption. However, the low-cost MEMS IMUs often suffer from complex, non-linear, time-varying noise and e...

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Bibliographic Details
Main Authors: Yaohua Liu, Jinqiang Cui, Wei Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Neurorobotics
Subjects:
MEMS IMU
deep learning
noise reduction
inertial navigation
random noise
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2022.993936/full

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