Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions

Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions

Micro-electro-mechanical system inertial measurement unit (MEMS-IMU), a core component in many navigation systems, directly determines the accuracy of inertial navigation system; however, MEMS-IMU system is often affected by various factors such as environmental noise, electronic noise, mechanical n...

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Bibliographic Details
Main Authors: Shipeng Han, Zhen Meng, Xingcheng Zhang, Yuepeng Yan
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Micromachines
Subjects:
recurrent neural network (RNN)
long short term memory (LSTM)
gated recurrent unit (GRU)
MEMS gyroscope
noise reduction
Online Access:https://www.mdpi.com/2072-666X/12/2/214

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https://www.mdpi.com/2072-666X/12/2/214

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