A Novel ML-Aided Methodology for SINS/GPS Integrated Navigation Systems during GPS Outages

A Novel ML-Aided Methodology for SINS/GPS Integrated Navigation Systems during GPS Outages

To improve the navigation accuracy for land vehicles during global positioning system (GPS) outages, a machine learning (ML) aided methodology to integrate a strap-down inertial navigation system (SINS) and GPS system is proposed, as follows. When a GPS signal is available, an online sequential extr...

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Bibliographic Details
Main Authors: Jin Sun, Zhengyu Chen, Fu Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
global positioning system (GPS) outages
strap-down inertial navigation system (SINS)
machine learning (ML)
online sequential extreme learning machine with dynamic forgetting factor (DOS-ELM)
Kalman filtering (KF)
SINS/GPS integrated systems
Online Access:https://www.mdpi.com/2072-4292/14/23/5932

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https://www.mdpi.com/2072-4292/14/23/5932

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