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Evolution: Machine learning for station specific Ionosphere prediction in GNSS positioning
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Evolution: Machine learning for station specific Ionosphere prediction in GNSS positioning
Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather activity (Dabbakuti, 2021). While global and regional ionospheric models provide large-scale corrections, they often fail to represent localized ionospheric variability at individual receiver locations (Jee et al., 2010; Osanyin et al, 2025). Consequently, residual ionospheric errors persi…
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