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Pregled bibliografske jedinice broj: 1239721

An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy

Heđi, Ivan; Malić, Emanuela; Sikirica, Nenad; Musulin, Mario; Šimag, Dario; Filjar, Renato
An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy // Proc of 2022 30th Telecommunications Forum (TELFOR) / Nešković, Aleksandar ; Reljin, Irini (ur.).
Beograd: Telfor, IEEE, 2022. str. 31-35 doi:10.1109/TELFOR56187.2022.9983679 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 1239721 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy

Autori
Heđi, Ivan ; Malić, Emanuela ; Sikirica, Nenad ; Musulin, Mario ; Šimag, Dario ; Filjar, Renato

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc of 2022 30th Telecommunications Forum (TELFOR) / Nešković, Aleksandar ; Reljin, Irini - Beograd : Telfor, IEEE, 2022, 31-35

ISBN
978-1-6654-7272-2

Skup
30th Tеlеcommunicаtions Forum (TELFOR 2022)

Mjesto i datum
Beograd, Srbija, 15.11.2022. - 16.11.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Elektrotehnika, Računarstvo, Zrakoplovstvo, raketna i svemirska tehnika, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Profili:

Avatar Url Renato Filjar (autor)

Avatar Url Mario Musulin (autor)

Avatar Url Ivan Heđi (autor)

Avatar Url Nenad Sikirica (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Heđi, Ivan; Malić, Emanuela; Sikirica, Nenad; Musulin, Mario; Šimag, Dario; Filjar, Renato
An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy // Proc of 2022 30th Telecommunications Forum (TELFOR) / Nešković, Aleksandar ; Reljin, Irini (ur.).
Beograd: Telfor, IEEE, 2022. str. 31-35 doi:10.1109/TELFOR56187.2022.9983679 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Heđi, I., Malić, E., Sikirica, N., Musulin, M., Šimag, D. & Filjar, R. (2022) An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy. U: Nešković, A. & Reljin, I. (ur.)Proc of 2022 30th Telecommunications Forum (TELFOR) doi:10.1109/TELFOR56187.2022.9983679.
@article{article, author = {He\dji, Ivan and Mali\'{c}, Emanuela and Sikirica, Nenad and Musulin, Mario and \v{S}imag, Dario and Filjar, Renato}, year = {2022}, pages = {31-35}, DOI = {10.1109/TELFOR56187.2022.9983679}, keywords = {Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm}, doi = {10.1109/TELFOR56187.2022.9983679}, isbn = {978-1-6654-7272-2}, title = {An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy}, keyword = {Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm}, publisher = {Telfor, IEEE}, publisherplace = {Beograd, Srbija} }
@article{article, author = {He\dji, Ivan and Mali\'{c}, Emanuela and Sikirica, Nenad and Musulin, Mario and \v{S}imag, Dario and Filjar, Renato}, year = {2022}, pages = {31-35}, DOI = {10.1109/TELFOR56187.2022.9983679}, keywords = {Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm}, doi = {10.1109/TELFOR56187.2022.9983679}, isbn = {978-1-6654-7272-2}, title = {An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy}, keyword = {Shannon entropy, Global Navigation Satellite System (GNSS), Total Electron Content (TEC), ionospheric delay, geomagnetic storm}, publisher = {Telfor, IEEE}, publisherplace = {Beograd, Srbija} }

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