TEC Prediction Based on Att-CNN-BiLSTM

Prediction of Total Electron Content (TEC) in the ionosphere is vital to improve the accuracy of satellite positioning, navigation and remote sensing systems. Most existing TEC prediction methods ignored the local variation patterns between various positions within the TEC sequence, resulting in lim...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Haijun Liu, Haoran Wang, Jing Yuan, Liangchao Li, Lili Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Attention mechanism
CNN-BiLSTM
ionosphere
total electron content
local variation patterns
Online Access:https://ieeexplore.ieee.org/document/10520885/

Internet

https://ieeexplore.ieee.org/document/10520885/

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