Precise point positioning technique with single frequency raw GNSS observations using CNES and MADOCA real-time products on android smartphones
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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) and MADOCA (Multi-GNSS Advanced Demonstration tool for Orbit and Clock Analysis) archives. 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 convergence.
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References
Banville, S., & van Diggelen, F. (2016). Precision GNSS for everyone: Precise positioning using raw GPS measure- ments from Android smartphones. GPS World, 27(11), 43-48.
GNSS Agency, (2017). Using GNSS raw measurements on Android devices. European GNSS Agency GNSS Raw Measurements Task Force. http://doi.org/10.2878/449581
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.
Siddakatte, R., Broumandan, A., & Lachapelle, G. (2017, November 27-30). Performance evaluation of smartphone GNSS measurements with different antenna configurations. Proceedings of the International Navigation Conference, Brighton
Navarro-Gallardo, M., Bernhardt, N., Kirchner, M., Musial, J. R., & Sunkevic, M. (2017, September). Assessing Galileo readiness in Android devices using raw measurements. In Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017, 85-100. https://doi.org/10.33012/2017.15183
Lachapelle, G., Gratton, P., Horrelt, J., Lemieux, E., & Broumandan, A. (2018). Evaluation of a low cost hand held unit with GNSS raw data capability and comparison with an android smartphone. Sensors, 18(12), 4185. https://doi.org/10.3390/s18124185
Gogoi, N., Minetto, A., Linty, N., & Dovis, F. (2018). A controlled-environment quality assessment of android GNSS raw measurements. Electronics, 8(1), 5. https://doi.org/10.3390/electronics8010005
Zhang, X., Tao, X., Zhu, F., Shi, X., & Wang, F. (2018). Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach. Gps Solutions, 22, 70. https://doi.org/10.1007/s10291-018-0736-8
Banville, S., Lachapelle, G., Ghoddousi-Fard, R., & Gratton, P. (2019, September). Automated processing of low-cost GNSS receiver data. In Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019, 3636-3652. https://doi.org/10.33012/2019.16972
Li, G., & Geng, J. (2019). Characteristics of raw multi-GNSS measurement error from Google Android smart devices. GPS Solutions, 23, 90. https://doi.org/10.1007/s10291-019-0885-4
Paziewski, J., Sieradzki, R., & Baryla, R. (2019). Signal characterization and assessment of code GNSS positioning with low-power consumption smartphones. GPS solutions, 23, 98. https://doi.org/10.1007/s10291-019-0892-5
Robustelli, U., Paziewski, J., & Pugliano, G. (2021). Observation quality assessment and performance of GNSS standalone positioning with code pseudoranges of dual-frequency Android smartphones. Sensors, 21(6), 2125. https://doi.org/10.3390/s21062125
Chen, B., Gao, C., Liu, Y., & Sun, P. (2019). Real-time precise point positioning with a Xiaomi MI 8 android smartphone. Sensors, 19(12), 2835. https://doi.org/10.3390/s19122835
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
Odolinski, R., & Teunissen, P. J. (2019). An assessment of smartphone and low-cost multi-GNSS single-frequency RTK positioning for low, medium and high ionospheric disturbance periods. Journal of Geodesy, 93(5), 701-722. https://doi.org/10.1007/s00190-018-1192-5
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. https://doi.org/10.3390/electronics8010091
Wu, Q., Sun, M., Zhou, C., & Zhang, P. (2019). Precise point positioning using dual-frequency GNSS observations on smartphone. Sensors, 19(9), 2189. https://doi.org/10.3390/s19092189
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. https://doi.org/10.1088/1361-6501/abe56e
Geng, J., & Li, G. (2019). On the feasibility of resolving Android GNSS carrier-phase ambiguities. Journal of Geodesy, 93(12), 2621-2635. https://doi.org/10.1007/s00190-019-01323-0
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. https://doi.org/10.1016/j.measurement.2021.109162
Zangenehnejad, F., & Gao, Y. (2021). GNSS smartphones positioning: Advances, challenges, opportunities, and future perspectives. Satellite navigation, 2, 1-23. https://doi.org/10.1186/s43020-021-00054-y
Aggrey, J., Bisnath, S., Naciri, N., Shinghal, G., & Yang, S. (2019, September). Use of PPP processing for next-generation smartphone GNSS chips: key benefits and challenges. In Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019, 3862-3878.
Elmezayen, A., & El-Rabbany, A. (2019). Precise point positioning using world’s first dual-frequency GPS/GALILEO smartphone. Sensors, 19(11), 2593. https://doi.org/10.3390/s19112593
Kulikov, R., Chugunov, A., & Zamolodchikov, V. (2019, November). Investigation of collision warning possibilities by means of GNSS receivers of Android smartphones. In IOP Conference Series: Materials Science and Engineering, 695(1), 012013. https://doi.org/10.1088/1757-899X/695/1/012013
Elsobeiey, M., & Al-Harbi, S. (2016). Performance of real-time Precise Point Positioning using IGS real-time service. GPS solutions, 20, 565-571. https://doi.org/10.1007/s10291-015-0467-z
Hadas, T., & Bosy, J. (2015). IGS RTS precise orbits and clocks verification and quality degradation over time. GPS solutions, 19, 93-105. https://doi.org/10.1007/s10291-014-0369-5
Karadeniz, B., Pehlivan, H., & Arı, B. (2023). Precise point positioning technique with single frequency raw GNSS observations using different products on android smartphones. Advanced Engineering Days (AED), 6, 61-63.