Seamless MEMS-INS/Geomagnetic Navigation System Based on Deep-Learning Strong Tracking Square-Root Cubature Kalman Filter

Seamless MEMS-INS/Geomagnetic Navigation System Based on Deep-Learning Strong Tracking Square-Root Cubature Kalman Filter

To suppress inertial navigation system drift and improve the seamless navigation capability of microelectromechanical system-inertial navigation systems/geomagnetic navigation systems (MEMS-INS/MNS) in geomagnetically unlocked environments, this paper proposes a hybrid seamless MEMS-INS/MNS strategy...

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Bibliographic Details
Main Authors: Tianshang Zhao, Chenguang Wang, Chong Shen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Micromachines
Subjects:
deep self-learning
microelectromechanical system
cubature Kalman filtering
strong tracking filter
square-root filter
geomagnetic navigation
Online Access:https://www.mdpi.com/2072-666X/14/10/1935

Internet

https://www.mdpi.com/2072-666X/14/10/1935

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