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A mixed single- and dual-frequency quad-constellation GNSS precise point positioning approach on Xiaomi Mi8 smartphones

Published online by Cambridge University Press:  19 April 2022

Yanjie Li
Affiliation:
School of Geosciences and Info-Physics, Central South University, Changsha 410083, People's Republic of China
Changsheng Cai*
Affiliation:
School of Geosciences and Info-Physics, Central South University, Changsha 410083, People's Republic of China
*
*Corresponding author. E-mail: cscai@hotmail.com

Abstract

The high-precision global navigation satellite system (GNSS) positioning technique on smartphones has been attracting increasing interest in recent years. However, the low-cost GNSS chip and linearly polarised antenna embedded inside smartphones result in data lack and quality degradation, which hinders the high-precision GNSS positioning on smartphones. In this study, a mixed single- and dual-frequency quad-constellation precise point positioning (MSDQ-PPP) model is proposed to improve the positioning performance on smartphones by taking advantage of all available GNSS observations. Static and kinematic tests were made using a Xiaomi Mi8 smartphone to fully assess the MSDQ-PPP performance with comparisons to single-frequency PPP (SF-PPP) and dual-frequency PPP (DF-PPP) models. The static test results show that the MSDQ-PPP can reach an accuracy level of 0⋅39 m and 0⋅50 m in the horizontal and vertical directions with a convergence time of less than 10 min in most sessions. The MSDQ-PPP improves the positioning accuracy by 53% and 31% over the DF-PPP in the horizontal and vertical directions, respectively. In contrast to the SF-PPP, the positioning accuracy and convergence time improvement can reach 62% and 90% in the horizontal direction, respectively. In the kinematic test, the MSDQ-PPP achieves an accuracy of 0⋅7 m and 1⋅5 m in the horizontal and vertical directions, respectively. The accuracy improvement rates reach 78% and 76% over the DF-PPP, and 13% and 38% over the SF-PPP, respectively. Both static and kinematic MSDQ-PPP tests indicate significantly enhanced positioning performance.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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References

Aggrey, J., Bisnath, S., Naciri, N., Shinghal, G. and Yang, S. (2020). Multi-GNSS precise point positioning with next-generation smartphone measurements. Journal of Spatial Science, 65(1), 7998.CrossRefGoogle Scholar
Banville, S. and Diggelen, F. V. (2016). Precise GNSS for everyone: Precise positioning using raw GPS measurements from android smartphones. GPS World, 27(11), 4348.Google Scholar
Cai, C. and Gao, Y. (2013). Modeling and assessment of combined GPS/GLONASS precise point positioning. GPS Solutions, 17(2), 223236.CrossRefGoogle Scholar
Chen, J., Zhang, Y., Wang, J., Yang, S., Dong, D., Wang, J., Qu, W. and Wu, B. (2015). A simplified and unified model of multi-GNSS precise point positioning. Advances in Space Research, 55(1), 125134.CrossRefGoogle Scholar
Chen, B., Gao, C., Liu, Y. and Sun, P. (2019). Real-time precise point positioning with a Xiaomi MI 8 android smartphone. Sensors, 19(12), 2835.CrossRefGoogle ScholarPubMed
Darugna, F., Wübbena, J. B., Wübbena, G., Schmitz, M., Schön, S. and Warneke, A. (2021). Impact of robot antenna calibration on dual-frequency smartphone-based high-accuracy positioning: A case study using the Huawei Mate20X. GPS Solutions, 25(1), 112.CrossRefGoogle Scholar
Elmezayen, A. and El-Rabbany, A. (2019). Precise point positioning using world's first dual-frequency GPS/GALILEO smartphone. Sensors, 19(11), 2593.CrossRefGoogle ScholarPubMed
Gill, M., Bisnath, S., Aggrey, J. and Seepersad, G. (2017). Precise Point Positioning (PPP) Using low-Cost and Ultra-low-Cost GNSS Receivers. Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017), 25-29 September, Portland, Oregon, 226236.CrossRefGoogle Scholar
Gong, Y., Cai, C., Dai, W. and Zhu, J. (2019). Least-squares collocation modelling of regional ionospheric TEC for accelerating real-time single-frequency PPP convergence. IET Radar, Sonar & Navigation, 13(6), 10311038.CrossRefGoogle Scholar
Guo, F., Zhang, X. and Wang, J. (2015). Timing group delay and differential code bias corrections for BeiDou positioning. Journal of Geodesy, 89(5), 427445.CrossRefGoogle Scholar
Håkansson, M. (2019). Characterization of GNSS observations from a Nexus 9 Android tablet. GPS Solutions, 23(1), 114.CrossRefGoogle Scholar
Jahn, T., Kaindl, M., Semper, I. V., Damy, S., Navarro-Gallardo, M., Diani, F. and Redelkiewicz, J. (2019). Assessment of GNSS Performance on Dual-Frequency Smartphones. Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), 16–20 September, Miami, Florida, 7088.CrossRefGoogle Scholar
Kouba, J. and Héroux, P. (2001). Precise point positioning using IGS orbit and clock products. GPS Solutions, 5(2), 1228.CrossRefGoogle Scholar
Kuusniemi, H., Wieser, A., Lachapelle, G. and Takala, J. (2007). User-level reliability monitoring in urban personal satellite-navigation. IEEE Transactions on Aerospace and Electronic Systems, 43(4), 13051318.CrossRefGoogle Scholar
Li, G. and Geng, J. (2019). Characteristics of raw multi-GNSS measurement error from Google Android smart devices. GPS Solutions, 23(3), 116.CrossRefGoogle Scholar
Li, B., Zang, N., Ge, H. and Shen, Y. (2019). Single-frequency PPP models: Analytical and numerical comparison. Journal of Geodesy, 93(12), 24992514.CrossRefGoogle Scholar
Liu, W., Shi, X., Zhu, F., Tao, X. and Wang, F. (2019). Quality analysis of multi-GNSS raw observations and a velocity-aided positioning approach based on smartphones. Advances in Space Research, 63(8), 23582377.Google Scholar
Mu, R., Dang, Y. and Xu, C. (2020). BDS-3/GNSS Data Quality and Positioning Performance Analysis. In China Satellite Navigation Conference 2020, 23-25 November, Chengdu, China, 368379.Google Scholar
Netthonglang, C., Thongtan, T. and Satirapod, C. (2019). GNSS Precise Positioning Determinations Using Smartphones. In 2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 11-14 November, Bangkok, Thailand, 401404.CrossRefGoogle Scholar
Paziewski, J. (2020). Recent advances and perspectives for positioning and applications with smartphone GNSS observations. Measurement Science and Technology, 31(9), 091001.CrossRefGoogle Scholar
Paziewski, J., Sieradzki, R. and Baryla, R. (2019). Signal characterization and assessment of code GNSS positioning with low-power consumption smartphones. GPS Solutions, 23(4), 112.Google Scholar
Privat, A., Pascaud, M. and Laurichesse, D. (2018). Innovative Smartphone Applications for Precise Point Positioning. In Proceedings of the 2018 SpaceOps Conference, 28 May–1 Jun, Marseille, France, 2324.Google Scholar
Saastamoinen, J. (1972). Atmospheric correction for the troposphere and stratosphere in radio ranging satellites. The use of Artificial Satellites for Geodesy, 15, 247251.Google Scholar
Wang, G., Bo, Y., Yu, Q., Li, M., Yin, Z. and Chen, Y. (2020). Ionosphere-constrained single-frequency PPP with an Android smartphone and assessment of GNSS observations. Sensors, 20(20), 5917.CrossRefGoogle ScholarPubMed
Wanninger, L. and Heßelbarth, A. (2020). GNSS code and carrier phase observations of a Huawei P30 smartphone: Quality assessment and centimeter-accurate positioning. GPS Solutions, 24(2), 19.Google Scholar
Wen, Q., Geng, J., Li, G. and Guo, J. (2020). Precise point positioning with ambiguity resolution using an external survey-grade antenna enhanced dual-frequency android GNSS data. Measurement, 157, 107634.CrossRefGoogle Scholar
Wu, Q., Sun, M., Zhou, C. and Zhang, P. (2019). Precise point positioning using dual-frequency GNSS observations on smartphone. Sensors, 19(9), 2189.CrossRefGoogle ScholarPubMed
Xu, X., Nie, Z., Wang, Z. and Zhang, Y. (2020). A modified TurboEdit cycle-slip detection and correction method for dual-frequency smartphone GNSS observation. Sensors, 20(20), 5756.CrossRefGoogle ScholarPubMed
Zhang, X., Tao, X., Zhu, F., Shi, X. and 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(3), 111.CrossRefGoogle Scholar
Zhou, F., Dong, D., Li, P., Li, X. and Schuh, H. (2019). Influence of stochastic modeling for inter-system biases on multi-GNSS undifferenced and uncombined precise point positioning. GPS Solutions, 23(3), 113.CrossRefGoogle Scholar