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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A South Pacific Cyclone-caused GPS Positioning Error and Its Impact on Remote Oceanic Island Communities
1 Sesvete, Zagreb, Croatia
2 University of Rijeka, Rijeka, Croatia
3 Zagreb University of Applied Sciences, Zagreb, Croatia
2 University of Rijeka, Rijeka, Croatia
3 Zagreb University of Applied Sciences, Zagreb, Croatia
ABSTRACT: Satellite navigation gains importance in sustainable development of modern civilisation. With the increasing number of GNSS-based technology and socio-economic systems and services, satellite navigation has become an essential component of national infrastructure. This calls for novel requirements on GNSS positioning perfomance, and increasing need for resilient GNSS development. Here we examined the impact of rapidly developing tropical cyclone on GPS positioning performance degradation, and the resulting impact on oceanic non-navigation and navigation GPS applications. We presented the methodology for indirect simulation-based GPS positioning performance evaluation through utilisation of experimental GPS observations, GNSS Software-Defined Radio (SDR) receiver, and a statistical analysis and framework we developed in the R environment for scientific computing. We identified alteration of GPS positioning error components time series statistical properties, and discuss the potential impact on GPS-based services essential for remote oceanic island communities. Manuscript concludes with the summary of findings, proposal for recommendations on improved GNSS resilience, and an outline for future research.
KEYWORDS: Global Navigation Satellite System (GNSS), Tropical Cyclones, GPS Positioning Error, South Pacific, Software-Defined Radio (SDR), GNSS Positioning Performance, Remote Oceanic Inland Communities, GNSS Resilience
REFERENCES
Box, G E P, Jenkins, G, and Reinsel, G C. (2008). Time Series Analysis, Forecasting and Control (4th ed). John Wiley & Sons. Hoboken, NJ. - doi:10.1002/9781118619193
Filić, M. (2018). On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions. Proc 2nd URSI AT-RASC (4 pages, electronic format). Gran Canaria, Spain. Available at: http://www.atrasc.com/content/stick/papers/URSISummaryPaperMFilic.pdf
Filić, M, and Filjar, R. (2018). Forecasting model of space weather-driven GNSS positioning performance. Lambert Academic Publishing. Riga, Latvia.
Filić, M, Grubišić, L, and Filjar, R. (2018). Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Sqaure approach. Proc of 11th Annual Baška GNSS Conference, 7-19. Baška, Krk Island, Croatia. Available at: https://www.pfri.uniri.hr/web/hr/dokumenti/zbornici-gnss/2018-GNSS-11.pdf
Filić, M, Filjar, R, Weng, J. (2018). An IGS-based simulator of ionospheric conditions for GNSS positioning quality assessment. Coordinates, 14(1), 31-34. Available at: http://mycoordinates.org/an-igs-based-simulator-of-ionospheric-conditions-for-gnss-positioning-quality-assessment/
Howes E L, Birchenough, S, and Lincoln, S. (2018). Effects of Climate Change Relevant to the Pacific Islands (in Pacific Marine Climate Change Report Card). Commonwelath Marine Economies Programme (Funded by HM Government of the United Kingdom). London, UK. Available at: https://bit.ly/2qdI2gZ (HM Government of the UK internet resource).
IGS. (2018). International GNSS Service (IGS) Network. Available at: http://www.igs.org/network
IGS, RINEX Working Group, and RTCM-SC104. (2015). RINEX: The Receiver Independent Exchange Format (version 3.03). Available at: ftp://igs.org/pub/data/format/rinex303.pdf
NASA. (2018). IGS Archive of daily GNSS observations, hosted by NASA. Available at: ftp://cddis.gsfc.nasa.gov/gnss/data/daily
OpenStreetMap. (2018). Data base of world spatial data under Open Database Licence. Cartography provided under the Creative Commons Attribution-ShareAlike 2.0 license. Available at: https://www.openstreetmap.org
Oxley, A. (2017). Uncertainties in GPS Positioning: A mathematical discourse. Academic Press/Elsevier. London, UK.
Parkinson, B W, and Spilker, Jr, J J (eds). (1996). Global Positioning System: Theory and Applications (Vol. I.). AIAA. Washington, DC. - doi:10.2514/4.866395
Porretta, M et al. (2016): GNSS Evolutions for Maritime: An Incremental Approach. Inside GNSS, May/June, 2016, 54-62. Available at: http://insidegnss.com/auto/mayjune16-WP.pdf
R-project team. (2017). The R project for Statistical Computing (software, documentation, and books). Available at: https://www.r-project.org.
Shumway, R H, and Stoffer, D S. (2017). Time Series Analysis and Its Applications With R Examples (Fourth Edition). Springer Verlag. Cham, Switzerland. Available at: https://www.stat.pitt.edu/stoffer/tsa4/tsa4.pdf - doi:10.1007/978-3-319-52452-8
Storm Science Australia. (2018). Tropical Cyclone Ola in the Eastern Coral Sea. Storm Science Australia. Available at: http://bit.ly/2BJkunK
Stull, R. (2017). Practical Meteorology: An Algebra-based Survey of Atmospheric Science (version 1.02b). Univ. of British Columbia. Vancouver, BC. Available at: https://bit.ly/2QXfG66
Takasu, T. (2013). RTKLIB: An Open Source Program Package for GNSS Positioning. Software and documentation available at: http://www.rtklib.com
The Economist. (2018). Stormy Weather: Storms in America and the Pacific are evidence of climate change. The Economist UK ed), Sep 22, 2018, 52-54.Available at: https://econ.st/2MPZwZJ
Thomas, M et al. (2011). Global Navigation Space Systems: reliance and vulnerabilities. Royal Academy of Engineering. London, UK. Available at: http://bit.ly/1vrIenu
UK Government Office for Science. (2018). Satellite-Derived Time and Position: A Study of Critical Dependencies. HM Government of the UK and NI. Available at: https://bit.ly/2E2STnd
Eurocontrol, and IfEN. (1998). WGS 84 Implementation Manual. Available at: http://bit.ly/2wM4xPn
Yao, X, and Rhee, C. (2013). The economics of climate change in the Pacific. Asian Development Bank. Mandaluyong City, Philippines. Available at: https://bit.ly/2pcpCi9
Citation note:
Filić M., Filjar R.: A South Pacific Cyclone-caused GPS Positioning Error and Its Impact on Remote Oceanic Island Communities. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 12, No. 4, doi:10.12716/1001.12.04.03, pp. 663-670, 2018
Authors in other databases:
Mia Filić:
7801606756
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