Forecasting 24‐Hr Total Electron Content With Long Short‐Term Memory Neural Network
Marjolijn Adolfs,
Mohammed Mainul Hoque,
Yuri Y. Shprits
Abstract:An accurate prediction of the ionospheric state is important for correcting ionospheric propagation effects on Global Navigation Satellite Systems (GNSS) signals used in precise navigation and positioning applications. The main objective of the present work is to find a total electron content (TEC) model which gives a good estimate of ionospheric state not only during quiet but also during perturbed ionospheric conditions. For this, we implemented several long short‐term memory (LSTM)‐based models capable of p… Show more
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