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GNSS positioning performance assessment is essential for sustainable development of a growing number of GNSS-based technology and socio-economic applications. Case-studies of GNSS positioning performance in critical environments and applications scenarios reveals vulnerabilities of the GNSS Positioning, Navigation, and Timing (PNT) services, and suggest mitigation techniques and GNSS application risk containment. Here we address the case of GPS positioning performance during a devastating tropical cyclone Marcus that hit the greater area of the city of Darwin, Australia in 2018. We identified specific statistical properties of time series of tropospheric contribution to GPS northing, easting, and vertical positioning error that may contribute to understanding of tropospheric effects on GPS positioning performance during a massive weather deterioration in maritime and coastal areas, and analysed their adversarial effects on GNSS-based maritime applications.
Rocznik
Tom
Strony
343--348
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
- Krapina University of Applied Sciences, Krapina, Croatia
autor
- Zagreb University of Applied Sciences, Zagreb, Croatia
autor
- University of Rijeka, Rijeka, Croatia
autor
- University of Rijeka, Rijeka, Croatia
Bibliografia
- 1. BOM. (2018). Severe Tropical Cyclone Marcus. Australian Government, Buraeu of Meteorology (BOM). Melbourne. VIC. Available at: http://www.bom.gov.au/announcements/ sevwx/nt/nttc20180316.shtml
- 2. Filić, M and Filjar, R. (2018). A South Pacific CycloneCaused GPS Positioning Error and Its Effects on Remote Island Communities. TransNav, 12(4), 663-670. doi: 10.12716/1001.12.04.03
- 3. Filić, M, Grubišić, L, and Filjar, R. (2018). Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach. Proc of 11th Annual Baška GNSS Conference, 7-19. Baška, Krk Island, Croatia. Available at: https://bit.ly/2sLuR82
- 4. GSA. (2018). Report on maritime and inland waterways user needs and requirements. European GNSS Agency (GSA). Prague, Czechia. Available at: https://bit.ly/2C7WMVp
- 5. Oxley, A. (2017). Uncertainties in GPS positioning: A mathematical discourse. Academic Press/Elsevier. London, UK.
- 6. Rumora, I, Jukić, O, Filić, M, and Filjar, R. (2018). A study of GPS positioning error associated with tropospheric delay during Numa Mediterranean cyclone. Int J for Transp and Traff Eng, 8(3), 282-293. doi: 10.7708/ijtte.2018.8(3).03
- 7. Schueller,T. (2001). On Ground-Based GPS Tropospheric Delay Estimation (PhD thesis). University of Bundeswehr. Neubiberg, Germany.
- 8. Shumway, R H, and Stoffer, D S. (2017). Time Series Analysis and Its Applications with R Examples. Springer Verlag. New York, NY. Available at: http://db.ucsd.edu/static/TimeSeries.pdf - doi:10.1007/978-3-319-52452-8
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020)
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-88bc89a2-c373-4f7e-89aa-bfa8cb8a1649