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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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Principais autores: He-Sheng Wang, Dah-Jing Jwo, Yu-Hsuan Lee
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-12-01
Serier:Remote Sensing
Fag:
GNSS
transformer
ionospheric effect
explainability
integrated gradient
integrated decision gradient
Online adgang:https://www.mdpi.com/2072-4292/17/1/81
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