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On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions (CROSBI ID 663883)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Filić, M On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions // Proc of 2nd URSI Atlantic Radio Science Meeting AT-RASC 2018 / Doherty, P ; Franceschi, G ; Stanislawska, I et al. (ur.). Lahti: URSI, 2018

Podaci o odgovornosti

Filić, M

engleski

On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions

Space weather and ionospheric conditions effects on the Global Satellite Navigation System (GNSS) positioning performance and operation have already been identified. However, the qualification of this relationship is still a subject of scientific activities. A model forecasting the level of GNSS positioning performance degradation caused by space weather and ionospheric dynamics represents a valuable scientific goal. This manuscript addresses the refinement in forecasting model development procedure achieved through utilisation of selected supervised machine learning method based on Linear Models (LM) and Component Analysis (PCA) on experimentally collected data set of the quiet space-weather period.

forecasting model ; space weather ; GNSS positioning performance ; ionosphere

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Podaci o prilogu

G-05-4

2018.

objavljeno

Podaci o matičnoj publikaciji

Proc of 2nd URSI Atlantic Radio Science Meeting AT-RASC 2018

Doherty, P ; Franceschi, G ; Stanislawska, I ; Datta-Barua, S ; Elvidge, S

Lahti: URSI

Podaci o skupu

2nd URSI Atlantic Radio Science Meeting (AT-RASC 2018)

pozvano predavanje

28.05.2018-01.06.2018

Las Palmas de Gran Canaria, Španjolska

Povezanost rada

Geofizika, Matematika, Zrakoplovstvo, raketna i svemirska tehnika

Poveznice