A Novel Approach for Real-world Performance Assessment of Galileo Navigation Message Evolution

Tiago Peres, David Jimenez, Thomas Burger, Birgit E. Schotsch, Marco Anghileri, M. Ouedraogo

Peer Reviewed

Abstract: The paper presents a novel testing approach which, within certain boundary conditions, allows assessing the performance of candidate navigation message designs and extensions in close-to-reality conditions based upon physical measurements of the already existing legacy signal. In short, real data collected with Global Navigation Satellite Systems (GNSS) receivers in the field is used to derive GNSS symbol error vectors observed in a real propagation channel, and this is used to emulate reception of new navigation message elements being degraded with these realistic symbol errors. The proposed testing approach was used to assess the performance of evolution candidates for the Galileo I/NAV navigation message, focusing on candidates for outer error correcting encoding of clock and ephemeris data using Low Density Parity Check (LDPC) and Reed Solomon codes. The performance advantage of the improvement candidates is successfully confirmed to be very substantial in real world scenarios. Their ranking is also confirmed in all covered environments and is in line with findings from earlier and on-going comparative performance assessments performed with simulation tools.
Published in: Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018)
September 24 - 28, 2018
Hyatt Regency Miami
Miami, Florida
Pages: 4079 - 4093
Cite this article: Peres, Tiago, Jimenez, David, Burger, Thomas, Schotsch, Birgit E., Anghileri, Marco, Ouedraogo, M., "A Novel Approach for Real-world Performance Assessment of Galileo Navigation Message Evolution," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 4079-4093. https://doi.org/10.33012/2018.15879
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