Evaluating the single-frequency static precise point positioning accuracies from multi-constellation GNSS observations at an Indian low-latitude station
Abstract
Multiple constellations and their combinations in the global navigation satellite systems (GNSS) provide a great opportunity for single-station precise point positioning (PPP) models. The PPP models are of more importance for GNSS users as they are cost-effective with reasonable accuracy. There are abundant models in the market that use different data processing techniques based on the location and constellations used. In this study, we used the precise point positioning (PPP) software Net_Diff to verify the positioning accuracy at a low latitude Indian location using individual global satellite constellations (GPS, GLONASS, Galileo, BeiDou) and their combinations with GPS fixed. The ionospheric correction models such as GIM and Klobuchar are applied in the post-processing to determine the positioning accuracy. The Kalman filter method is applied to model the input data along with including the noise to derive the position solution. The results revealed that the GPS showed constant residual error for both quiet and disturbed days. In terms of single constellation Galileo produced less residuals in WGS 84 and ECEF coordinate systems whereas in the multi-constellation combination GPS, Galileo and GLONASS resulted in residuals of lesser magnitudes compared to the other combinations considered in this study. The RMS and STD of the residuals confirmed the high precision for Galileo and low precision for BeiDou constellations at the location.
Funding source: Science and Engineering Research Board
Award Identifier / Grant number: CRG/2019/003394
Acknowledgments
The authors would like to acknowledge the CDDIS-NASA server for availing GNSS observation data for the station at https://cddis.nasa.gov/archive/gnss/data/daily. The SPP/PPP model net_Diff used in this study is obtained from https://github.com/YizeZhang/Net_Diff.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no competing interests.
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Research funding: This research work is supported by the SERB Core Research Grant (CRG) under grant number CRG/2019/003394.
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Data availability: The raw data can be obtained from on request from the corresponding author.
References
1. Zumberge, JF, Heflin, MB, Jefferson, DC, Watkins, MM, Webb, FH. Precise point positioning for the efficient and robust analysis of GPS data from large networks. J Geophys Res Solid Earth 1997;102:5005–17. https://doi.org/10.1029/96JB03860.Search in Google Scholar
2. Agrotis, L, Caissy, M, Ruelke, A, Fisher, S. Real-time service technical report. Pasadena, CA, USA: IGS Central Bureau; 2014:171–8 pp.Search in Google Scholar
3. Tétreault, P, Kouba, J, Héroux, P, Legree, P. CSRS-PPP: an internet service for GPS user access to the canadian spatial reference frame. Geomatica 2005;59:17–28. https://doi.org/10.5623/geomat-2005-0004.Search in Google Scholar
4. Zhou, F, Dong, D, Li, W, Jiang, X, Wickert, J, Schuh, H. GAMP: an open-source software of multi-GNSS precise point positioning using undifferenced and uncombined observations. GPS Solut 2018;22:33. https://doi.org/10.1007/s10291-018-0699-9.Search in Google Scholar
5. Bahadur, B, Nohutcu, M. PPPH: a MATLAB-based software for multi-GNSS precise point positioning analysis. GPS Solut 2018;22:113. https://doi.org/10.1007/s10291-018-0777-z.Search in Google Scholar
6. Zhang, Y. Research on real-time high precision BeiDou positioning service system. Acta Geod Cartogr Sinica 2018;47:1293. https://doi.org/10.11947/j.AGCS.2018.20170534.Search in Google Scholar
7. Chen, C, Chang, G. PPPLib: an open-source software for precise point positioning using GPS, BeiDou, Galileo, GLONASS, and QZSS with multi-frequency observations. GPS Solut 2020;25:18. https://doi.org/10.1007/s10291-020-01052-4.Search in Google Scholar
8. Mou, Y, Luo, X, Xie, Z, Peng, X. Performance analysis of four PPP service software under different intensity geomagnetic storms. Adv Space Res 2023;72:1593–604. https://doi.org/10.1016/j.asr.2023.04.026.Search in Google Scholar
9. Vázquez-Ontiveros, JR, Padilla-Velazco, J, Gaxiola-Camacho, JR, Vázquez-Becerra, GE. Evaluation and analysis of the accuracy of open-source software and online services for PPP processing in static mode. Rem Sens 2023;15:2034. https://doi.org/10.3390/rs15082034.Search in Google Scholar
10. Bulbul, S, Bilgen, B, Inal, C. The performance assessment of Precise Point Positioning (PPP) under various observation conditions. Measurement 2021;171:108780. https://doi.org/10.1016/j.measurement.2020.108780.Search in Google Scholar
11. Li, X, Zhang, X, Ren, X, Fritsche, M, Wickert, J, Schuh, H. Precise positioning with current multi-constellation global navigation satellite systems: GPS, GLONASS, Galileo and BeiDou. Sci Rep 2015;5:8328. https://doi.org/10.1038/srep08328.Search in Google Scholar PubMed PubMed Central
12. Alkan, RM, İlçi, V, Ozulu, İM, Saka, MH. A comparative study for accuracy assessment of PPP technique using GPS and GLONASS in urban areas. Measurement 2015;69:1–8. https://doi.org/10.1016/j.measurement.2015.03.012.Search in Google Scholar
13. Capilla, RM, Berné, JL, Martín, A, Rodrigo, R. Simulation case study of deformations and landslides using real-time GNSS precise point positioning technique. Geomatics, Nat Hazards Risk 2016;7:1856–73. https://doi.org/10.1080/19475705.2015.1137243.Search in Google Scholar
14. Liu, Z, Yang, Z. Anomalies in broadcast ionospheric coefficients recorded by GPS receivers over the past two solar cycles (1992–2013). GPS Solut 2016;20:23–37. https://doi.org/10.1007/s10291-015-0448-2.Search in Google Scholar
15. Hernández-Pajares, M, Zornoza, JMJ, Subirana, JS, Samson, J, Tossaint, MMM. Method, apparatus, and system for determining a position of an object having a global navigation satellite system receiver by processing undifferenced data like carrier-phase measurements and external products like ionosphere data; 2016. Available from: https://www.freepatentsonline.com/9494693.html.Search in Google Scholar
16. Wang, A, Chen, J, Zhang, Y, Wang, J. Comparison of three widely used multi-GNSS real-time single-frequency precise point positioning models using the International GNSS Service real-time service. IET Radar Sonar Navig 2020;14:1726–34. https://doi.org/10.1049/iet-rsn.2020.0204.Search in Google Scholar
17. Panda, SK, Gedam, SS. Evaluation of GPS standard point positioning with various ionospheric error mitigation techniques. J Appl Geodesy 2016;10:211–21. https://doi.org/10.1515/jag-2016-0019.Search in Google Scholar
18. Shi, C, Gu, S, Lou, Y, Ge, M. An improved approach to model ionospheric delays for single-frequency Precise Point Positioning. Adv Space Res 2012;49:1698–708. https://doi.org/10.1016/j.asr.2012.03.016.Search in Google Scholar
19. Li, B, Zang, N, Ge, H, Shen, Y. Single-frequency PPP models: analytical and numerical comparison. J Geodesy 2019;93:2499–514. https://doi.org/10.1007/s00190-019-01311-4.Search in Google Scholar
20. Ratnam, DV, Dabbakuti, JRKK, Lakshmi, NVVNJS. Improvement of Indian-regional Klobuchar ionospheric model parameters for single-frequency GNSS users. Geosci Rem Sens Lett IEEE 2018;15:971–5. https://doi.org/10.1109/LGRS.2018.2827081.Search in Google Scholar
21. Abhigna, MSR, Sridhar, M, Harsha, PBS, Krishna, KS, Ratnam, DV. Broadcast ionospheric delay correction algorithm using reduced order adjusted spherical harmonics function for single-frequency GNSS receivers. Acta Geophys 2021;69:335–51. https://doi.org/10.1007/s11600-020-00515-z.Search in Google Scholar
22. Desai, MV, Shah, SN. The GIVE ionospheric delay correction approach to improve positional accuracy of NavIC/IRNSS single-frequency receiver. Curr Sci 2018;114:1665–76. https://doi.org/10.18520/cs/v114/i08/1665-1676.Search in Google Scholar
23. Dey, A, Joshi, LM, Chhibba, R, Sharma, N. A study of ionospheric effects on IRNSS/NavIC positioning at equatorial latitudes. Adv Space Res 2021;68:4872–83. https://doi.org/10.1016/j.asr.2020.09.038.Search in Google Scholar
24. Gusain, R, Vidyarthi, A, Prakash, R, Shukla, AK. Statistical analysis of positional variations of NavIc receiver. In: 2022 international conference on advances in computing, communication and materials (ICACCM); 2022:1–5 pp.10.1109/ICACCM56405.2022.10009498Search in Google Scholar
25. Øvstedal, O. Absolute positioning with single-frequency GPS receivers. GPS Solut 2002;5:33–44. https://doi.org/10.1007/PL00012910.Search in Google Scholar
26. Cai, C, Gao, Y. Precise point positioning using combined GPS and GLONASS observations. J Glob Position Syst 2007;6:13–22. https://doi.org/10.5081/jgps.6.1.13.Search in Google Scholar
27. Hesselbarth, A, Wanninger, L. Short-term stability of GNSS satellite clocks and its effects on precise point positioning. In: Proceedings of the 21st International Technical Meeting of the Satellite Division. Savannah, GA, USA: The Institute of Navigation (ION GNSS 2008); 2008, vol 3:1855–63 pp.Search in Google Scholar
28. Cai, C, Gao, Y. Modeling and assessment of combined GPS/GLONASS precise point positioning. GPS Solut 2013;17:223–36. https://doi.org/10.1007/s10291-012-0273-9.Search in Google Scholar
29. Choy, S, Zhang, S, Lahaye, F, Héroux, P. A comparison between GPS-only and combined GPS+GLONASS precise point positioning. Spatial Sci 2013;58:169–90. https://doi.org/10.1080/14498596.2013.808164.Search in Google Scholar
30. Bu, J, Yu, K, Qian, N, Zuo, X, Chang, J. Performance assessment of positioning based on multi-frequency multi-GNSS observations: signal quality, PPP and baseline solution. IEEE Access 2021;9:5845–61. https://doi.org/10.1109/ACCESS.2020.3048352.Search in Google Scholar
31. Yigit, CO, Gikas, V, Alcay, S, Ceylan, A. Performance evaluation of short to long term GPS, GLONASS and GPS/GLONASS post-processed PPP. Surv Rev 2014;46:155–66. https://doi.org/10.1179/1752270613Y.0000000068.Search in Google Scholar
32. Reddybattula, KD, Panda, SK, Ansari, K, Peddi, VSR. Analysis of ionospheric TEC from GPS, GIM and global ionosphere models during moderate, strong, and extreme geomagnetic storms over Indian region. Acta Astronaut 2019;161:283–92. https://doi.org/10.1016/j.actaastro.2019.05.042.Search in Google Scholar
33. Ansari, K, Panda, SK, Corumluoglu, O. Mathematical modelling of ionospheric TEC from Turkish permanent GNSS Network (TPGN) observables during 2009–2017 and predictability of NeQuick and Kriging models. Astrophys Space Sci 2018;363:42. https://doi.org/10.1007/s10509-018-3261-x.Search in Google Scholar
34. Yuan, Y, Wang, N, Li, Z, Huo, X. The BeiDou global broadcast ionospheric delay correction model (BDGIM) and its preliminary performance evaluation results. Navigation 2019;66:55–69. https://doi.org/10.1002/navi.292.Search in Google Scholar
35. Klobuchar, JA. Ionospheric time-delay algorithm for single-frequency GPS users. IEEE Trans Aero Electron Syst 1987;AES-23:325–31. https://doi.org/10.1109/TAES.1987.310829.Search in Google Scholar
36. Bidaine, B. Ionosphere modelling for Galileo single frequency users [Ph.D. thesis]. ULiège – Université de Liège; 2012. [Online]. Available from: http://www.reflexions.uliege.be/cms/c_347990/fr/ma-these-en-180-secondes-benoit-bidaine.Search in Google Scholar
37. Angrisano, A, Gaglione, S, Gioia, C, Massaro, M, Troisi, S. Benefit of the NeQuick Galileo version in GNSS single-point positioning. Int J Navig Obs 2013;2013:2–12. https://doi.org/10.1155/2013/302947.Search in Google Scholar
38. Hoque, MM, Jakowski, N. An alternative ionospheric correction model for global navigation satellite systems. J Geodesy 2015;89:391–406. https://doi.org/10.1007/s00190-014-0783-z.Search in Google Scholar
39. Zhang, Y, Kubo, N, Chen, J, Wang, J, Wang, H. Initial positioning assessment of BDS new satellites and new signals. Rem Sens 2019;11:1320–11. https://doi.org/10.3390/rs11111320.Search in Google Scholar
40. Zhang, Y, Chen, J, Gong, X, Chen, Q. The update of BDS-2 TGD and its impact on positioning. Adv Space Res 2020;65:2645–61. https://doi.org/10.1016/j.asr.2020.03.011.Search in Google Scholar
41. Kalita, J, Rzepecka, Z, Szuman-Kalita, I. The application of precise point positioning in geosciences. Proceedings of the 9th International Conference on Environmental Engineering; 2014 May 22–23; Vilnius, Lithuania 2014:1–7. https://doi.org/10.3846/enviro.2014.215.Search in Google Scholar
42. Yao, Y, Zhang, R, Song, W, Shi, C, Lou, Y. An improved approach to model regional ionosphere and accelerate convergence for precise point positioning. Adv Space Res 2013;52:1406–15. https://doi.org/10.1016/j.asr.2013.07.020.Search in Google Scholar
43. Wu, Q, Zhang, P, Sun, M, Liu, S, Wang, H, Chen, S. Performance evaluation of GIMs released by different IGS ionosphere associate analysis centers in ionospheric constrained single-frequency precise point positioning. Adv Space Res 2021;68:4834–56. https://doi.org/10.1016/j.asr.2020.12.006.Search in Google Scholar
44. Srisamoodkham, W, Ansari, K, Jamjareegulgarn, P. Positioning comparison using GIM, Klobuchar, and IRI-2016 models during the geomagnetic storm in 2021. In: Sharma, H, Shrivastava, V, Kumari Bharti, K, Wang, L, editors. Communication and intelligent systems. Singapore: Springer Nature Singapore; 2022:725–33 pp.10.1007/978-981-19-2130-8_56Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Special Issue on Uncertainty and Quality of Multi-Sensor Systems; Guest Editor: Volker Schwieger
- Improving the approximation quality of tensor product B-spline surfaces by local parameterization
- Development of GPS time-based reference trajectories for quality assessment of multi-sensor systems
- PointNet-based modeling of systematic distance deviations for improved TLS accuracy
- Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system
- Guest Editorial
- Uncertainty and quality of multi-sensor systems
- Original Research Articles
- Coseismic slip model of the 14 January 2021 Mw 6.2 Mamuju-Majene earthquake based on static and kinematic GNSS solution
- Simulation of range code tracking loop for multipath mitigation in NavIC receiver
- Exploring ionospheric dynamics: a comprehensive analysis of GNSS TEC estimations during the solar phases using linear function model
- A new approach of multi-dimensional correlation as a separability measure of multiple outliers in GNSS applications
- Preliminary results of scintillation monitoring at KLEF-Guntur low latitude station using GNSS software defined radio
- Evaluating the single-frequency static precise point positioning accuracies from multi-constellation GNSS observations at an Indian low-latitude station
- Analysis of ionospheric anomalies before the Fukushima Mw 7.3 earthquake of March 16, 2022
- Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022
Articles in the same Issue
- Frontmatter
- Special Issue on Uncertainty and Quality of Multi-Sensor Systems; Guest Editor: Volker Schwieger
- Improving the approximation quality of tensor product B-spline surfaces by local parameterization
- Development of GPS time-based reference trajectories for quality assessment of multi-sensor systems
- PointNet-based modeling of systematic distance deviations for improved TLS accuracy
- Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system
- Guest Editorial
- Uncertainty and quality of multi-sensor systems
- Original Research Articles
- Coseismic slip model of the 14 January 2021 Mw 6.2 Mamuju-Majene earthquake based on static and kinematic GNSS solution
- Simulation of range code tracking loop for multipath mitigation in NavIC receiver
- Exploring ionospheric dynamics: a comprehensive analysis of GNSS TEC estimations during the solar phases using linear function model
- A new approach of multi-dimensional correlation as a separability measure of multiple outliers in GNSS applications
- Preliminary results of scintillation monitoring at KLEF-Guntur low latitude station using GNSS software defined radio
- Evaluating the single-frequency static precise point positioning accuracies from multi-constellation GNSS observations at an Indian low-latitude station
- Analysis of ionospheric anomalies before the Fukushima Mw 7.3 earthquake of March 16, 2022
- Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022