Vol. 3 No. 2 (2023)
Articles

Near-Real-Time Precise Point Positioning Technique with Single-Frequency Raw GNSS Observations on Android Smartphones

Published 2023-09-12

Keywords

  • Smartphone,
  • Single-Frequency,
  • GNSS,
  • N-RT-PPP

How to Cite

Pehlivan, H. ., Karadeniz, B., & Arı, B. (2023). Near-Real-Time Precise Point Positioning Technique with Single-Frequency Raw GNSS Observations on Android Smartphones. Advanced Geomatics, 3(2), 40–45. Retrieved from https://publish.mersin.edu.tr/index.php/geomatics/article/view/826

Abstract

In this study, positioning performance was evaluated by making single-frequency GNSS (Global Navigation Satellite System) observations under real-time conditions with a smartphone. In experiments, GNSS observations were recorded with the Xiaomi Redmi Note 8 Pro via the Geo++ RINEX Logger application. Measurements were made with the geodetic-grade CHC I80 GNSS receiver to evaluate the performance of the smartphone. In addition to the collected raw observation data set, solutions were realized with the Near-Real-Time Precise Point Positioning (N-RT-PPP) technique by using satellite orbit and clock correction products produced under real-time conditions from the CNES (National Centre for Space Studies) archive. When all the observations with the epoch difference are examined, it is observed that the root mean square error (RMSE) values of the GPS/GLONASS observations give better results than the only-GPS solutions. In addition, in the epoch differenced time series produced from the smartphone, an improvement between 92% and 98% was observed for the part below 1 cm horizontally and 2 cm vertically after the fluctuation.

References

  1. Aggrey, J., Bisnath, S., Naciri, N., Shinghal, G., & Yang, S. (2019). Use of PPP processing for next-generation smartphone GNSS chips: key benefits and challenges. Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), 3862-3878.
  2. Banville, S., & Diggelen, F. (2016). Precise GNSS for everyone: precise positioning using raw GPS measurements from Android smartphones. GPS World, 27(1), 43–48.
  3. Chen, B., Gao, C., Liu, Y., & Sun, P. (2019). Real-Time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone. Sensors, 19, 2835.
  4. Elmezayen, A., & El-Rabbany, A. (2019). Precise point positioning using world’s first dual-frequency GPS/GALILEO smartphone. Sensors, 19(11), 2593.
  5. Elsobeiey, M., & Al-Harbi S. (2016). Performance of real-time Precise Point Positioning using IGS real-time service. GPS Solutions, 20(3), 565–571.
  6. Gao, R., Xu, L., Zhang, B., & Liu, T. (2021). Raw GNSS observations from Android smartphones: Characteristics and short-baseline RTK positioning performance. Measurement Science and Technology, 32(8), 084012.
  7. Geng, J., & Li, G. (2019). On the feasibility of resolving Android GNSS carrier-phase ambiguities. Journal of Geodesy, 93(12), 2621-2635.
  8. GSA, European GNSS Agency (GSA) GNSS Raw Measurements Task Force 2017, Using GNSS raw measurements on Android devices (white paper) (http://doi.org.10.2878/449581).
  9. Gül, C., Doğan, A. H., & Öcalan, T. (2021). Investigation of PPP performance with dual frequency raw GNSS observations obtained from smartphones. Journal of Geodesy and Geoinformation, 8(2), 120-130.
  10. Hadas, T., & Bosy, J. (2015). IGS RTS precise orbits and clocks verification and quality degradation over time. GPS Solutions, 19(1), 93–105.
  11. Kulikov, R., Chugunov, A., & Zamolodchikov, V. (2019). Investigation of collision warning possibilities by means of GNSS receivers of Android smartphones. IOP Conference Series: Materials Science and Engineering, 695(1), 12013.
  12. Liu, Q., Gao, C., Peng, Z., Zhang, R., & Shang, R. (2021). Smartphone positioning and accuracy analysis based on real-time regional ionospheric correction model. Sensors, 21(11), 3879. https://doi.org/10.3390/s21113879.
  13. Odolinski, R., & Teunissen, P. (2019). An assessment of smartphone and low-cost multi-GNSS singlefrequency RTK positioning for low, medium and high ionospheric disturbance periods. Journal of Geodesy, 93(5), 701-722.
  14. Paziewski, J., Sieradzki, R., & Baryla, R. (2019). Signal characterization and assessment of code GNSS positioning with low-power consumption smartphones. GPS Solutions, 23(4), 1-12. https://doi.org/10.1007/s10291-019-0892-5.
  15. Paziewski, J., Fortunato, M., Mazzoni, A., & Odolinski, R. (2021). An analysis of multi-GNSS observations tracked by recent Android smartphones and smartphone-only relative positioning results. Measurement, 175, 109162.
  16. Robustelli, U., Baiocchi, V., & Pugliano, G. (2019). Assessment of dual frequency GNSS observations from a Xiaomi Mi 8 Android smartphone and positioning performance analysis. Electronics, 8(1), 91.
  17. Siddakatte, R., Broumandan, A., & Lachapelle, G. (2017). Performance evaluation of smartphone GNSS measurements with different antenna configurations. Proceedings of the International Navigation Conference, Brighton, 27-30 November 2017.
  18. Wu, Q., Sun, M., Zhou, C., & Zhang, P. (2019). Precise point positioning using dual-frequency GNSS observations on smartphone. Sensors, 19(9), 2189.
  19. Zangenehnejad, F., & Gao, Y. (2021). GNSS smartphones positioning: Advances, challenges, opportunities, and future perspectives. Satellite Navigation, 2(1), 1-23.