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An SDR-based Study of Multi-GNSS Positioning Performance During Fast-developing Space Weather Storm

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Języki publikacji
EN
Abstrakty
EN
The understanding of the ionospheric effects on GNSS positioning performance forms an essential pre-requisite for resilient GNSS development. Here we present the results of a study of the effects of a fast-developing space weather disturbance on the positioning performance of a commercial-grade GPS+GLONASS receiver. Using experimentally collected pseudoranges and the RTKLIB, an open-source software-defined GNSS radio receiver operating in the simulation mode, we assessed GNSS positioning performance degradations for various modes of GNSS SDR receiver operation, and identified the benefits of utilisation of multi-GNSS and ionospheric error correction techniques.
Twórcy
autor
  • Sesvete, Zagreb, Croatia
autor
  • University of Rijeka, Rijeka, Croatia
  • Finnish Geospatial Research Institute, Kirkkonummi, Finland
Bibliografia
  • 1 Booker, H. G. (1954). Morphology of Ionospheric Storms. Proc NAS, 40, pp 931–943.
  • 2 Cannon, P et al. (2013). Extreme space weather: impacts on engineered systems and infrastructure. Royal Academy of Engineering. London, UK. Available at: http://bit.ly/11OdBNN, accessed on 10 February, 2016.
  • 3 Davis, K. (1990). Ionospheric Radio. Peter Peregrinus Ltd. London, UK.
  • 4 Filjar, R and Huljenić, D. (2012). The importance of mitigation of GNSS vulnerabilities and risks. Coordinates, 8, 14‐16. Available at: http://bit.ly/Mv4QSc, accessed on 19 August, 2016.
  • 5 Filjar, R. (2011). GNSS: What can go wrong, and what are the risks? Risk Management in GNSS Malfunctioning Conference. International Institute for the Unification of Private Law (UNIDROIT). Rome, Italy. Available at: http://bit.ly/2aFS1St, accessed on 19 August, 2016.
  • 6 Hapgood, M. (2010). Lloydʹs 360º Risk Insight – Space Weather: Its impact on Earth and implications for business. Llyodʹs. London, UK. Available at: http://bit.ly/1dsXhrF.
  • 7 IGS. (2016). International GNSS Service. Available at: http://www.igs.org/, accessed on: 29 September, 2016.
  • 8 Jacobsen, K S, and Andalsvik, Y L. (2016). Overview of the 2015 St Patrick’s day storm and its consequences for RTK and PPP positioning in Norway. J Space Weater Space Clim, 6, A9, 12 pages. DOI: 10.1051/swsc/2016004
  • 9 Klobuchar, J A. (1987). Ionospheric Time‐Delay Algorithm for Single‐Frequency GPS Users. IEEE Trans on AES, 3, 325–331.
  • 10 Mendillo, M. (2006). Storms in the ionosphere: Patterns and processes for total electron content. Rev Geophys, 44 (47 pages). doi:10.1029/2005RG000193
  • 11 Petrovski, I G, and Tsujii, T. (2012). Digital Satellite Navigation and Geophysics: A Practical Guide with GNSS Signal Simulator and Receiver Laboratory. Cambridge University Press. Cambridge, UK.
  • 12 R Development Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3‐900051‐07‐0. Available at: http://www.R‐project.org, accessed on 5 February, 2016.
  • 13 Sanz Subirana, J et al. (2013). GNSS Data Processing – Volume I: Fundamentals and Algorithms. ESA. Noordwijk, The Netherlands.
  • 14 SPIDR. (2016). Space Physics Interactive Data Resource archive. Available at: http://spidr.ionosonde.net/spidr/, accessed on: 29 September, 2016.
  • 15 Stewart, R W et al. (2015). Software Defined Radio using MatLab & Simulink and the RTL‐SDR. University of Strathclyde. Glasgow, Scotland, UK. Available at: http://www.desktopsdr.com, accessed on 29 September, 2016.
  • 16 Takasu, T. (2013). RTKLIB: An Open Source Program Package for GNSS Positioning. Software and documentation available at: http://www.rtklib.com, accessed on 19 August, 2016.
  • 17 Thomas, M et al. (2011). Global Navigation Space Systems: reliance and vulnerabilities. Royal Academy of Engineering. London, UK. Available at: http://bit.ly/1vrIenu, accessed on 19 August, 2016.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34a4e3e3-45d8-4b4f-a367-6bec24abf356
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