Naslov
Forecasting model of space weather-driven GNSS positioning performance

Autori
Filić, Mia ; Filjar, Renato

Vrsta, podvrsta i kategorija knjige
Autorske knjige, monografija, znanstvena

Izdavač
Lambert Academic Publishing

Grad
Riga

Godina
2018

Stranica
116

ISBN
978-613-9-90118-0

Ključne riječi
Machine learning, forecasting model, space weather, ionosphere, GNSS positioning performance, satellite navigation

Sažetak
Space weather effects on Global Navigation Satellite System (GNSS) positioning performance are well-understood. However, a numerical model capable of forecasting the extent of GNSS positioning performance deterioration due to space weather, geomagnetic and ionospheric effects remains a scientific challenge. This monograph addresses the challenge through introduction of the space weather – GNSS positioning performance coupling model, and utilisation of selected machine learning methods for model development in selected scenario of quiet space weather conditions. Based on the assembled database of experimental observations, several forecasting models were developed using machine learning methods selected according to statistical properties of observations. Models were compared and their performance assessed from both the modelling and computational perspectives. Presented results contribute to the effort of generalised model development. The monograph will benefit scientists in the fields of machine learning, space weather and satellite navigation, GNSS receiver designers, and a growing population of interested GNSS users.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Geofizika, Zrakoplovstvo, raketna i svemirska tehnika

Napomena
Self-reviewed monograph.

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