Amplitude Scintillation

Amplitude scintillation refers to fluctuations in the power of Global Navigation Satellite System (GNSS) signals caused by irregularities in the ionosphere's electron density. Current research focuses on predicting the severity of these fluctuations using machine learning, employing algorithms like XGBoost and bagged trees to analyze historical GNSS data and forecast scintillation intensity. Accurate prediction of amplitude scintillation is crucial for improving the reliability and performance of GNSS-based navigation and positioning systems, enhancing their robustness against ionospheric disturbances. These advancements are improving the accuracy and speed of scintillation simulations, as demonstrated by the use of Generative Adversarial Networks (GANs).