Transformer-Based Ionospheric Prediction and Explainability Analysis for Enhanced GNSS Positioning

Transformer-Based Ionospheric Prediction and Explainability Analysis for Enhanced GNSS Positioning

This study aims to investigate the impact of ionospheric models on Global Navigation Satellite System (GNSS) positioning and proposes an ionospheric prediction method based on a Transformer deep learning model. We construct a Transformer-based deep learning model that utilizes global ionospheric map...

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Bibliographic Details
Main Authors: He-Sheng Wang, Dah-Jing Jwo, Yu-Hsuan Lee
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
GNSS
transformer
ionospheric effect
explainability
integrated gradient
integrated decision gradient
Online Access:https://www.mdpi.com/2072-4292/17/1/81
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