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Pregled bibliografske jedinice broj: 1026165

Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects


Filjar, Renato; Jukić, Oliver
Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects // International Colloquium on Equatorial and Low Latitude Ionosphere
Lagos, Nigerija, 2019. (plenarno, međunarodna recenzija, ostalo, znanstveni)


CROSBI ID: 1026165 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects

Autori
Filjar, Renato ; Jukić, Oliver

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, ostalo, znanstveni

Skup
International Colloquium on Equatorial and Low Latitude Ionosphere

Mjesto i datum
Lagos, Nigerija, 09.09.2019. - 13.09.2019

Vrsta sudjelovanja
Plenarno

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
GNSS resilience ; GNSS ionospheric effect ; statistical learning ; self-adaptive position estimation

Sažetak
GNSS resilience against natural and artificial sources of the Global Navigation Satellite System (GNSS) Positioning, Navigation, and Timing (PNT) services deteriorations and disruptions is the most important challenge related to the matured and enabling technology that drives increasing number of applications (technology and socio-economic systems and services). Here we analyse the problem of mitigation of the effects of influential events through introduction of the self- adaptive and transparent GNSS position estimation process that may learn from experience, detect anomalous position environment conditions, and develop and deploy the appropriate GNSS pseudorange correction and GNSS positioning performance forecasting models. Using those bespoke models, GNSS resilience is developed and sustained within the user equipment, complying to the PNT quality requirements. Proposed self- adaptive GNSS position estimation process is validated using positioning performance modelling studies addressing the effects of ionospheric conditions on GPS pseudorange measurement and GPS positioning errors.

Izvorni jezik
Engleski

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

Napomena
Rukopis predstavljen u obliku pozvanog keynote predavanja. U pripremi objava cjelovitog rukopisa u znanstvenom časopisu.



POVEZANOST RADA


Ustanove:
Tehnički fakultet, Rijeka,
Tehničko veleučilište u Zagrebu,
Veleučilište u Virovitici

Profili:

Avatar Url Oliver Jukić (autor)

Avatar Url Renato Filjar (autor)


Citiraj ovu publikaciju:

Filjar, Renato; Jukić, Oliver
Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects // International Colloquium on Equatorial and Low Latitude Ionosphere
Lagos, Nigerija, 2019. (plenarno, međunarodna recenzija, ostalo, znanstveni)
Filjar, R. & Jukić, O. (2019) Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects. U: International Colloquium on Equatorial and Low Latitude Ionosphere.
@article{article, author = {Filjar, Renato and Juki\'{c}, Oliver}, year = {2019}, keywords = {GNSS resilience, GNSS ionospheric effect, statistical learning, self-adaptive position estimation}, title = {Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects}, keyword = {GNSS resilience, GNSS ionospheric effect, statistical learning, self-adaptive position estimation}, publisherplace = {Lagos, Nigerija} }
@article{article, author = {Filjar, Renato and Juki\'{c}, Oliver}, year = {2019}, keywords = {GNSS resilience, GNSS ionospheric effect, statistical learning, self-adaptive position estimation}, title = {Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects}, keyword = {GNSS resilience, GNSS ionospheric effect, statistical learning, self-adaptive position estimation}, publisherplace = {Lagos, Nigerija} }




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