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Amplitude Scintillation Forecasting Using Bagged Trees. (arXiv:2207.08745v2 [cs.LG] UPDATED)
Oct. 3, 2022, 1:12 a.m. | Abdollah Masoud Darya, Aisha Abdulla Al-Owais, Muhammad Mubasshir Shaikh, Ilias Fernini
cs.LG updates on arXiv.org arxiv.org
Electron density irregularities present within the ionosphere induce
significant fluctuations in global navigation satellite system (GNSS) signals.
Fluctuations in signal power are referred to as amplitude scintillation and can
be monitored through the S4 index. Forecasting the severity of amplitude
scintillation based on historical S4 index data is beneficial when real-time
data is unavailable. In this work, we study the possibility of using historical
data from a single GPS scintillation monitoring receiver to train a machine
learning (ML) model to …
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