A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)
A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)
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Author / Creator
Jiang, Changhui , Chen, Shuai , Chen, Yuwei , Zhang, Boya , Feng, Ziyi , Zhou, Hui and Bo, Yuming
Publisher
Switzerland: MDPI
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI
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Scope and Contents
Contents
Microelectromechanical Systems (MEMS) Inertial Measurement Unit (IMU) containing a three-orthogonal gyroscope and three-orthogonal accelerometer has been widely utilized in position and navigation, due to gradually improved accuracy and its small size and low cost. However, the errors of a MEMS IMU based standalone Inertial Navigation System (INS)...
Alternative Titles
Full title
A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e39f3464d94e4222b4ae74c44d66cbe4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e39f3464d94e4222b4ae74c44d66cbe4
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s18103470
