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Abstrakty
The introduction of new overlapping signals from GPS and Galileo, such as L1 and E1 and L5 and E5a, presents new opportunities for enhanced precision and reliability in positioning. However, it also introduces new challenges that need to be addressed. One of the primary challenges in processing GPS and Galileo observations is the requirement for Inter-System Bias (ISB) handling. An important aspect has become the examination of the stability of the ISB parameter over time. Both short-term and long-term stability must be investigated. For this purpose, experiments were conducted on 20 permanent IGS stations in 10 pairs. Using the Modified Ambiguity Function Approach (MAFA) method, the stability of the ISB parameter over time was investigated, both for short-term (daily) and long-term periods. When selecting pairs, care was taken to ensure that the distances between the receivers in the pair were shorter than 10 kilometers. This allowed us to reduce the influence of the atmosphere on the obtained results. Observation data were obtained from the permanent GNSS stations mentioned above for 2020 and 2021. Calculations were conducted for the GPS and Galileo systems corresponding observations. The obtained results showed that for both the short-term period, which is a day, and for the more extended period of time (few months), the ISB exhibits significant stability. This means that once determined, the ISB can be used for several months for a given pair of receivers.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
79--91
Opis fizyczny
Bibliogr. 21 poz.
Twórcy
autor
- University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Department of Geodesy, Olsztyn, Poland
autor
- University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Department of Geodesy, Olsztyn, Poland
Bibliografia
- 1. Cellmer S., Nowel K., Kwaśniak D. (2017). Optimization of a Grid of Candidates in the Search Procedure of the MAFA Method. Environmental Engineering. Proceedings of the International Conference on Environmental Engineering. ICEE, vol. 10, pp. 1–7, 10.3846/enviro.2017.179.
- 2. Cellmer S., Nowel K., Kwaśniak D. (2018). The New Search Method in Precise GNSS Positioning. IEEE Transactions on Aerospace and Electronic Systems, 54(1), 404–415, DOI: 10.1109/TAES.2017.2760578.
- 3. Cellmer S., Nowel K., Fischer A. (2021). A search step optimization in an ambiguity function-based GNSS precise positioning. Survey Review, 1–8, DOI: 10.1080/00396265.2021.1885947.
- 4. Håkansson M., Jensen A., Horemuž M., Hedling G. (2017). Review of code and phase biases in multi-GNSS positioning. GPS Solutions. 21. 10.1007/s10291-016-0572-7.
- 5. Kwaśniak D., Cellmer S., Nowel K., (2017). Precise positioning in Europe using the Galileo and GPS combination. 10.3846/enviro.2017.210.
- 6. Kwaśniak D., Cellmer S. (2021). Incorporating Inter-System Bias in Single Point Positioning Based on GPS, Galileo and BeiDou System. Geomatics and Environmental Engineering. 15. 97. 10.7494/geom.2021.15.1.97.
- 7. Leick A., Rapoport L., Tatarnikov D. (2015). GPS Satellite Surveying. John Wiley & Sons, DOI: 10.1002/9781119018612.
- 8. Li W., Zhu S., Ming Z. (2021). Estimation of Inter-System Biases between BDS-3/GPS/Galileo and Its Application in RTK Positioning. Remote Sensing, 13(17), 3507, DOI: 10.3390/rs13173507.
- 9. Li M., Rovira G., Nie W., Xu T., Xu G. (2023). Inter-system biases solution strategies in multi-GNSS kinematic precise point positioning. GPS Solutions. 27. 10.1007/s10291-023-01443-3.
- 10. Liu X., Jiang W., Li Pa, Deng Z., Ge M., Schuh H. (2022). An extended inter-system biases model for multi-GNSS precise point positioning. Measurement. 206. 112306. 10.1016/j.measurement.2022.112306.
- 11. Odijk D., Teunissen P. (2013) Characterization of Between-Receiver GPS-Galileo Inter- System Biases and their Effect on Mixed Ambiguity Resolution. GPS Solutions, 17(4), 521-533, DOI: 10.1007/s10291-012-0298-0.
- 12. Paziewski J., Wielgosz P. (2015). Accounting for Galileo-GPS inter-system biases in precise satellite positioning. Journal of Geodesy, 89(1), 81-93, DOI: 10.1007/s00190 014 0763-3.
- 13. Paziewski J., Wielgosz P. (2017). Investigation of some selected strategies for multi-GNSS instantaneous RTK positioning. Advances in Space Research, 59(1), 12 23, DOI: 10.1016/j.asr.2016.08.034.
- 14. Paziewski J., Sieradzki R., Wielgosz P. (2015). Selected properties of GPS and Galileo-IOV receiver intersystem biases in multi-GNSS data processing. Measurement Science and Technology. 26. 095008. 10.1088/0957-0233/26/9/095008.
- 15. Tian Y., Sui L., Xiao G., Zhao D., Chai H., Liu C. (2020). Estimating inter-system biases for tightly combined Galileo/BDS/GPS RTK, Advances in Space Research, vol. 65, no. 1, pp. 572–585, https://doi.org/10.1016/j.asr.2019.09.003.
- 16. Teunissen P., Kleusberg A. (1998) GPS for Geodesy. Springer – Verlag, Berlin Heidelberg New York.
- 17. Xu P. (2006). Voronoi cells, probabilistic bounds, and hypothesis testing in mixed integer linear models. IEEE Transactions on Information Theory 52(7):3122–3138.
- 18. Xu C,. Wang H., Dang Y., Chen H., Zhang L. (2015). Unified Estimation Model of Multi- system Biases Including BDS/GPS/GLONASS/Galileo. In: J. Sun, J. Liu, S. Fan, X. Lu, (ed.), China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46638-4_23.
- 19. Zang N., Li B., Nie L., Shen Y. (2019). Inter-system and inter-frequency code biases:simultaneous estimation, daily stability and applications in multi-GNSS single-frequency precise point positioning. GPS Solutions. 24. 10.1007/s10291-019-0926-z.
- 20. Zeng A., Yang Y., Ming F. (2017). BDS–GPS inter-system bias of code observation and its preliminary analysis. GPS Solut 21, 1573–1581, https://doi.org/10.1007/s10291-017-0636-3.
- 21. Zhu S., Li W. (2021). Performances Analysis of Tightly-Combined Multi-system RTK Positioning with BDS-3/GPS/Galileo. 10.1007/978-981-16-3138-2_56.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cf11f73d-8c2e-4584-b717-d2ea9529eeeb
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