GNSS positioning error change-point detection in GNSS Positioning Performance Modelling

• Autorzy: Filić M. , Filjar R.

Identyfikatory

DOI

10.12716/1001.13.03.12

• Języki publikacji: EN

Abstrakty

EN

Provision of uninterrupted and robust Positioning, Navigation, and Timing (PNT) services is essential task of Global Navigation Satellite Systems (GNSS) as an enabling technology for numerous technology and socio-economic applications, a cornerstone of the modern civilisation, a public goods, and an essential component of a national infrastructure. GNSS resilience may be accomplished only with complete understanding of the causes of GNSS positioning performance disruptions and degradations, presented in a form of applications- and scenarios-related models. Here the application of change-point detection methods is proposed and demonstrated in a selected scenario of a fast-developing ionospheric storm’s impact on GNSS positioning performance, as a novel contribution to forecasting GNSS positioning performance model development and GNSS utilisation risk mitigation.

Słowa kluczowe

EN

Global Navigation Satellite System (GNSS); positioning; Navigation and Timing (PNT); GNSS Positioning Performance Modelling; GNSS Positioning Error Change-point Detection; GNSS Positioning Performance; GNSS Resilience; GNSS Utilisation Risk Mitigation; GNSS Positioning Performance Degradation

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2019
• Tom: Vol. 13, no. 3
• Strony: 575--579
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Filić M.

• University of Ljubljana, Ljubljana, Slovenia

autor

Filjar R.

• Zagreb University of Applied Sciences, Zagreb, Croatia
• University of Rijeka, Rijeka, Croatia

Bibliografia

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• 3. Filić, M, Filjar, R. (2019). On correlation between SID monitor and GPS-derived TEC observations during a massive ionospheric storm development. Best Student Paper Award at URSI AP-RASC 2019. New Delhi, India. Available at: https://bit.ly/2FSJu0Y - doi:10.23919/URSIAP-RASC.2019.8738664
• 4. Filić, M, Filjar, R. (2018). Forecasting model of space weather-driven GNSS positioning performance. Lambert Academic Publishing. Riga, Latvia. ISBN 978-613-9-90118-0.
• 5. Filić M., Filjar R., Ruotsalainen L.: An SDR-based Study of Multi-GNSS Positioning Performance During Fast-developing Space Weather Storm. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 3, doi:10.12716/1001.10.03.03, pp. 395-400, 2016
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).