Abstract
For single-frequency users of the global satellite navigation system (GNSS), one of the main error contributors is the ionospheric delay, which impacts the received signals. As is well-known, GPS and Galileo transmit global models to correct the ionospheric delay, while the international GNSS service (IGS) computes precise post-process global ionospheric maps (GIM) that are considered reference ionospheres. Moreover, accurate ionospheric maps have been recently introduced, which allow for the fast convergence of the real-time precise point position (PPP) globally. Therefore, testing of the ionospheric models is a key issue for code-based single-frequency users, which constitute the main user segment. Therefore, the testing proposed in this paper is straightforward and uses the PPP modeling applied to single- and dual-frequency code observations worldwide for 2014. The usage of PPP modeling allows us to quantify—for dual-frequency users—the degradation of the navigation solutions caused by noise and multipath with respect to the different ionospheric modeling solutions, and allows us, in turn, to obtain an independent assessment of the ionospheric models. Compared to the dual-frequency solutions, the GPS and Galileo ionospheric models present worse global performance, with horizontal root mean square (RMS) differences of 1.04 and 0.49 m and vertical RMS differences of 0.83 and 0.40 m, respectively. While very precise global ionospheric models can improve the dual-frequency solution globally, resulting in a horizontal RMS difference of 0.60 m and a vertical RMS difference of 0.74 m, they exhibit a strong dependence on the geographical location and ionospheric activity.
Similar content being viewed by others
Notes
Current IGS Site Guidelines; revised July 2015 (http://kb.igs.org/hc/en-us/articles/202011433-Current-IGS-Site-Guidelines). Pseudo-range and carrier phase smoothing should be completely disabled. (Guideline no. 2.2.18).
References
Davies K (1990) Ionospheric radio. Institution of Electrical Engineers, London
Dow JM, Neilan RE, Rizos C (2009) The International GNSS Service in a changing landscape of Global Navigation Satellite Systems. J Geodesy 83:191–198. doi:10.1007/s00190-008-0300-3
European GNSS (Galileo) Open Service (2015) Ionospheric correction algorithm for Galileo single frequency users. European Commission. doi:10.2873/685913
Hernández-Pajares M, Prieto-Cerdeira R, Béniguel Y, Garcia-Rigo A, Kinrade J, Kauristie K, Orus-Perez R, Schlueter S, Serant D, Nava B, Krankowski A, Secretan H, Sampedro R, Prats X (2015) MONITOR ionospheric monitoring system: analysis of perturbed days affecting SBAS performance. In: ION PNT 2015. Hawaii
Hernandez-Pajares M, Sanz JM, Orus R, Garcia-Rigo A, Feltens J, Komjathy A, Schaer SC, Krankowski A (2008) The IGS VTEC maps: a reliable source of ionospheric information since 1998. J Geod 83(3):263–275. doi:10.1007/s00190-008-0266-1
Hoque MM, Jakowski N, Berdermann J (2015) An ionosphere broadcast model for next generation GNSS. In: ION 2015, Florida
Jensen ABO, Mitchell C (2011) GNSS and Ionosphere: what’s in store for the next solar maximum? GPS World, pp 40–48. http://gpsworld.com/innovation-gnss-and-ionosphere-11036/
Klobuchar J (1987) Ionospheric time delay algorithm or single-frequency GPS users. IEEE Trans Aerosp Electron Syst 23(3):332
Montenbruck O, Steigenberger P, Khachikyan R, Weber G, Langley RB, Mervart L, Hugentobler U (2014) IGS-MGEX: Preparing the Ground for Multi-Constellation GNSS Science. Inside GNSS 9(1):42–49
Orus R, Hernandez-Pajares M, Juan M, Sanz J, Garcia-Fernandez M (2002) Performance of different TEC models to provide GPS ionospheric corrections. J Atmos Solar Terr Phys 64:2055–2062
Orus R, Hernández-Pajares M, Juan JM, Sanz J (2005) Improvement of global ionospheric VTEC maps by using Kriging interpolation technique. J Atmos Solar Terr Phys 67(16):1598–1609
Parkinson BW, Spilker JJ Jr (1996) Global positioning system: theory and applications. Progress in astronautics and aeronautics, vol 163–164. American Institute for Aeronautics and Astronautics, Washington, DC
Rovira-Garcia A, Juan J, Sanz J, Gonzalez-Casado G (2015) A worldwide ionospheric model for fast precise point positioning. Geosci Remote Sens IEEE Trans 53(8):4596–4604. doi:10.1109/TGRS.2015.2402598
Rovira-Garcia A, Juan JM, Sanz J, Gonzalez-Casado G, Ibanez D (2016) Accuracy of ionospheric models used in GNSS and SBAS: methodology and analysis. J Geod 60(3):229–240
Sanz Subirana J, Juan Zornoza JM, Hernández-Pajares M (2013) GNSS data processing, Vol. I: fundamentals and algorithms (ESA TM-23/1). European Space Agency, ISBN 978-92-9221-886-7
Acknowledgements
The author acknowledges the use of MGEX data, precise orbits, clocks and GIM products from IGS and the use of gAGE/UPC precise GIM. The author also acknowledges the use of GMT tools.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Orus Perez, R. Ionospheric error contribution to GNSS single-frequency navigation at the 2014 solar maximum. J Geod 91, 397–407 (2017). https://doi.org/10.1007/s00190-016-0971-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00190-016-0971-0