An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy (CROSBI ID 729663)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Heđi, Ivan ; Malić, Emanuela ; Sikirica, Nenad ; Musulin, Mario ; Šimag, Dario ; Filjar, Renato
engleski
An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy
Ionospheric delay of a satellite signal, determined by Total Electron Content (TEC), is the principal contributor to GNSS positioning performance degradation. Traditional GNSS ionospheric delay correction models are sub- optimised to real environment conditions. We contribute to the problem solution with a proposal for, and demonstration of a algorithm for GNSS ionospheric delay model development for characteristic scenarios of GNSS positioning environment, based on the assessment of TEC predictability using Shannon (information) entropy.
Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm
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Podaci o prilogu
31-35.
2022.
objavljeno
10.1109/TELFOR56187.2022.9983679
Podaci o matičnoj publikaciji
Proc of 2022 30th Telecommunications Forum (TELFOR)
Nešković, Aleksandar ; Reljin, Irini
Beograd: Telfor, IEEE
978-1-6654-7272-2
Podaci o skupu
30th Tеlеcommunicаtions Forum (TELFOR 2022)
predavanje
15.11.2022-16.11.2022
Beograd, Srbija
Povezanost rada
Elektrotehnika, Informacijske i komunikacijske znanosti, Matematika, Računarstvo, Zrakoplovstvo, raketna i svemirska tehnika