An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is commonly used for global navigation satellite system (GNSS)-based global ionospheric forecasting, though its accu...

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Vydané v:	IEEE geoscience and remote sensing letters Ročník 22; s. 1 - 5
Hlavní autori:	Wang, Cheng, Xue, Kaiyu, Shi, Chuang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Collocation methods ConvLSTM model Data models Decoding encoder-decoder structure Encoders-Decoders Forecast accuracy Forecasting Global navigation satellite system Ionosphere Ionospheric forecasting Long short term memory Mathematical models Navigation Navigation satellites Navigation systems Navigational satellites Optimization optimized models Predictive models Radio communications Root-mean-square errors Satellite navigation Satellite observation Satellites Training
ISSN:	1545-598X, 1558-0571
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