Pregled bibliografske jedinice broj: 946411
On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions
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 ; Datta-Barua, S ; Elvidge, S (ur.).
Lahti: URSI, 2018. G-05-4, 4 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 946411 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions
Autori
Filić, M
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc of 2nd URSI Atlantic Radio Science Meeting AT-RASC 2018
/ Doherty, P ; Franceschi, G ; Stanislawska, I ; Datta-Barua, S ; Elvidge, S - Lahti : URSI, 2018
Skup
2nd URSI Atlantic Radio Science Meeting (AT-RASC 2018)
Mjesto i datum
Las Palmas de Gran Canaria, Španjolska, 28.05.2018. - 01.06.2018
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
forecasting model ; space weather ; GNSS positioning performance ; ionosphere
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Geofizika, Zrakoplovstvo, raketna i svemirska tehnika
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)