On the GPS signal multipath at ASG-EUPOS stations
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Dariusz Tomaszewski
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Renata Pelc-Mieczkowska
Abstract
The accuracy of the results of satellite measurements is influenced by many factors. One of them is the multipath phenomenon resulting from reflections of the satellite signal, mainly from objects in the vicinity of the GNSS antenna. The multipath remains a domain source of ranging errors in satellite positioning. Despite the groups of multipath mitigation methods, it is impossible to totally eliminate the influence of this error on the measurement results. This error has two main effects in the case of carrier phase differential positioning. First, the multipath increases the initial search space for correct ambiguities. Secondly, the accuracy of the vector solution between the reference station and the rover receiver is affected. The authors of this article analyzed the presence of multipath in the Polish network of permanent GNSS stations ASG-EUPOS. Data from the year 2021 were used for the analysis. Two computational strategies were adopted to determine the multipath. The pseudorange multipath observable combination (MP) for L1, L2 and L5 signals was used for code measurements. In the case of the carrier phase, multipath analyses of double-differenced L1, L2, and L5 carriers between neighbouring stations were performed. Based on the research, the average multipath level for the Polish GNSS reference stations network was determined. Stations where the levels of particular combinations exceed the assumed values were successively determined. Finally, multipath models in the form of sidereal maps were created. Based on these models, six stations were identified and recommended for further analysis concerning the impact of multipath on GNSS measurements.
Funding source: European Regional Development Fund
Award Identifier / Grant number: POIR 01.01.01-00-0753/21
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Research ethics: Not applicable.
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Informed consent: 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 study was supported by the project “Innovative precise monitoring system based on integration of low-cost GNSS and IMU MEMS sensors”, POIR 01.01.01-00-0753/21, co-financed by the European Regional Development Fund within the Subeasure 1.1.1 of the Smart Growth Operational Program 2014–2020.
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Data availability: The raw data can be obtained on request from the corresponding author.
References
1. Groves, PD. The pnt boom: future trends in integrated navigation. In: Inside GNSs; 2013, vol 8:44–9 pp.Search in Google Scholar
2. Qin, H, Xue, X, Yang, Q. Gnss multipath estimation and mitigation based on particle filter. IET Radar, Sonar Navig 2019;13:1588–96. https://doi.org/10.1049/iet-rsn.2018.5587.Search in Google Scholar
3. Strode, PR, Groves, PD. Gnss multipath detection using three-frequency signal-to-noise measurements. GPS Solut 2016;20:399–412. https://doi.org/10.1007/s10291-015-0449-1.Search in Google Scholar
4. Hofmann-Wellenhof, B, Lichtenegger, H, Collins, J. Global positioning system: theory and practice. Vienna: Springer Science & Business Media; 2012.Search in Google Scholar
5. Robustelli, U, Pugliano, G. Code multipath analysis of galileo foc satellites by time-frequency representation. Appl Geomat 2019;11:69–80. https://doi.org/10.1007/s12518-018-0241-3.Search in Google Scholar
6. Teunissen, PJ, Montenbruck, O. Springer handbook of global navigation satellite systems, vol 10. Wessling, Germany: Springer; 2017.10.1007/978-3-319-42928-1Search in Google Scholar
7. Pelc-Mieczkowska, R, Tomaszewski, D, Bednarczyk, M. Gnss obstacle mapping as a data preprocessing tool for positioning in a multipath environment. Meas Sci Technol 2019;31:015017. https://doi.org/10.1088/1361-6501/ab2a48.Search in Google Scholar
8. Smyrnaios, M, Schn, S, Liso, M, Jin, S. Multipath propagation, characterization and modeling in gnss. In: Geodetic sciences-observations, modeling and applications; 2013:99–125 pp.10.5772/54567Search in Google Scholar
9. Spilker, JJJr, Axelrad, P, Parkinson, BW, Enge, P. Global positioning system: theory and applications, vol I. Washington, D.C.: American Institute of Aeronautics and Astronautics; 1996.10.2514/4.866388Search in Google Scholar
10. Kavak, A, Xu, G, Vogel, WJ. Gps multipath fade measurements to determine l-band ground reflectivity properties. In: Proceedings of the 20th NASA propagation experimenters meeting; 1996.Search in Google Scholar
11. Rotondo, G, Thevenon, P, Milner, C, Macabiau, C, Felux, M, Hornbostel, A, et al.. Methodology for determining pseudorange noise and multipath models for a multi-constellation, multi-frequency gbas system. In: Proceedings of the 2015 international technical meeting of the institute of navigation; 2015:383–92 pp.Search in Google Scholar
12. Tranquilla, JM, Carr, J, Al-Rizzo, HM. Analysis of a choke ring groundplane for multipath control in global positioning system (gps) applications. IEEE Trans Antenn Propag 1994;42:905–11. https://doi.org/10.1109/8.299591.Search in Google Scholar
13. Kunysz, W. A three dimensional choke ring ground plane antenna. In: Proceedings of the 16th international technical meeting of the satellite division of the institute of navigation (ION GPS/GNSS 2003); 2003:1883–8 pp.Search in Google Scholar
14. Danskin, S, Bettinger, P, Jordan, T. Multipath mitigation under forest canopies: a choke ring antenna solution. For Sci 2009;55:109–16.10.1093/forestscience/55.2.109Search in Google Scholar
15. Kunysz, W. High performance gps pinwheel antenna. In: Proceedings of the 13th international technical meeting of the satellite division of the institute of navigation (ION GPS 2000); 2000a:2506–11 pp.Search in Google Scholar
16. Kunysz, W. A novel gps survey antenna. In: Proceedings of the 2000 national technical meeting of the institute of navigation; 2000b:698–705 pp.Search in Google Scholar
17. Garin, L, van Diggelen, F, Rousseau, J-M. Strobe & edge correlator multipath mitigation for code. In: Proceedings of the 9th international technical meeting of the satellite division of the institute of navigation (ION GPS 1996); 1996:657–64 pp.Search in Google Scholar
18. Garin, L, Rousseau, J-M. Enhanced strobe correlator multipath rejection for code & carrier. In: Proceedings of the 10th international technical meeting of the satellite division of the institute of navigation (ION GPS 1997); 1997:559–68 pp.Search in Google Scholar
19. Hatch, RR, Keegan, RG, Stansell, TA. Leica’s code and phase multipath mitigation techniques. In: Proceedings of the 1997 national technical meeting of the institute of navigation; 1997:217–25 pp.Search in Google Scholar
20. Weill, LR. Application of superresolution concepts to the gps multipath mitigation problem. In: Proceedings of the 1998 national technical meeting of the institute of navigation; 1998:673–82 pp.Search in Google Scholar
21. Irsigler, M, Eissfeller, B. Comparison of multipath mitigation techniques with consideration of future signal structures. In: Proceedings of the 16th international technical meeting of the satellite division of the institute of navigation (ION GPS/GNSS 2003); 2003:2584–92 pp.Search in Google Scholar
22. Paonni, M, AVILA-RODRIGUEZ, J-A, Pany, T, Hein, GW, Eissfeller, B. Looking for an optimum s-curve shaping of the different mboc implementations. Navigation 2008;55:255–66. https://doi.org/10.1002/j.2161-4296.2008.tb00435.x.Search in Google Scholar
23. Ray, J, Cannon, M, Fenton, P. Gps code and carrier multipath mitigation using a multiantenna system. IEEE Trans Aero Electron Syst 2001;37:183–95. https://doi.org/10.1109/7.913677.Search in Google Scholar
24. Irsigler, M. Characterization of multipath phase rates in different multipath environments. GPS Solut 2010;14:305–17. https://doi.org/10.1007/s10291-009-0155-y.Search in Google Scholar
25. Robustelli, U, Pugliano, G. Gnss code multipath short-time fourier transform analysis. Navigation: J Inst Navig 2018;65:353–62. https://doi.org/10.1002/navi.247.Search in Google Scholar
26. Wanninger, L, May, M. Carrier-phase multipath calibration of gps reference stations. Navigation 2001;48:112–24. https://doi.org/10.1002/j.2161-4296.2001.tb00233.x.Search in Google Scholar
27. Choi, K, Bilich, A, Larson, KM, Axelrad, P. Modified sidereal filtering: implications for high-rate gps positioning. Geophys Res Lett 2004;31:1–4. https://doi.org/10.1029/2004gl021621.Search in Google Scholar
28. Zaminpardaz, S, Teunissen, PJ, Nadarajah, N. Irnss stand-alone positioning: first results in Australia. Spatial Sci 2016;61:5–27. https://doi.org/10.1080/14498596.2016.1142398.Search in Google Scholar
29. Defraigne, P, Bruyninx, C. On the link between gps pseudorange noise and day-boundary discontinuities in geodetic time transfer solutions. GPS Solut 2007;11:239–49. https://doi.org/10.1007/s10291-007-0054-z.Search in Google Scholar
30. Hilla, S, Cline, M. Evaluating pseudorange multipath effects at stations in the national cors network. GPS Solut 2004;7:253–67. https://doi.org/10.1007/s10291-003-0073-3.Search in Google Scholar
31. Abou Galala, M, Kaloop, MR, Rabah, MM, Zeidan, ZM. Improving precise point positioning convergence time through teqc multipath linear combination. J Survey Eng 2018;144:04018002. https://doi.org/10.1061/(asce)su.1943-5428.0000250.Search in Google Scholar
32. Estey, LH, Meertens, CM. Teqc: the multi-purpose toolkit for gps/glonass data. GPS Solut 1999;3:42–9. https://doi.org/10.1007/pl00012778.Search in Google Scholar
33. Seepersad, G, Bisnath, S. Reduction of ppp convergence period through pseudorange multipath and noise mitigation. GPS Solut 2015;19:369–79. https://doi.org/10.1007/s10291-014-0395-3.Search in Google Scholar
34. Vázquez, GE, Bennett, R, Spinler, J. Assessment of pseudorange multipath at continuous gps stations in Mexico. Positioning 2013;04:253–65. https://doi.org/10.4236/pos.2013.43025.Search in Google Scholar
35. Guo, J, Li, G, Kong, Q, Wang, S, Zong, G. On site pseudorange multipath effect on gps surveying. In: Principle and application progress in location-based services. Springer; 2014:107–20 pp.10.1007/978-3-319-04028-8_9Search in Google Scholar
36. Leick, A, Rapoport, L, Tatarnikov, D. GPS satellite surveying. Hoboken, New Jersey: John Wiley & Sons; 2015.10.1002/9781119018612Search in Google Scholar
37. Pirsiavash, A, Broumandan, A, Lachapelle, G, O’Keefe, K. Gnss code multipath mitigation by cascading measurement monitoring techniques. Sensors 2018;18:1967. https://doi.org/10.3390/s18061967.Search in Google Scholar PubMed PubMed Central
38. Zhang, Z, Guo, F, Zhang, X, Pan, L. First result of gnss-r-based sea level retrieval with cmc and its combination with the snr method. GPS Solut 2022;26:1–14. https://doi.org/10.1007/s10291-021-01208-w.Search in Google Scholar
39. Groves, PD, Jiang, Z, Rudi, M, Strode, P. A portfolio approach to nlos and multipath mitigation in dense urban areas. In: Proceedings of the 26th international technical meeting of the satellite division of the institute of navigation (ION GNSS 2013). The Institute of Navigation; 2013.Search in Google Scholar
40. Dey, A, Xu, B, Lu, X, Sharma, N. Gnss code multipath time-frequency analysis using wavelet-based synchrosqueezing transform in urban environments. Geosci Rem Sens Lett IEEE 2022;19:1–5. https://doi.org/10.1109/lgrs.2022.3167738.Search in Google Scholar
41. Kalyanaraman, SK, Braasch, MS, Kelly, JM. Code tracking architecture influence on gps carrier multipath. IEEE Trans Aero Electron Syst 2006;42:548–61. https://doi.org/10.1109/taes.2006.1642571.Search in Google Scholar
42. Han, J, Pei, J, Tong, H. Data mining: concepts and techniques. Cambridge: Morgan Kaufmann; 2022.Search in Google Scholar
43. Kanga, S, Meraj, G, Das, B, Farooq, M, Chaudhuri, S, Singh, SK. Modeling the spatial pattern of sediment flow in lower hugli estuary, West Bengal, India by quantifying suspended sediment concentration (ssc) and depth conditions using geoinformatics. Appl Comput Geosci 2020;8:100043. https://doi.org/10.1016/j.acags.2020.100043.Search in Google Scholar
44. Bertiger, W, Bar-Sever, Y, Dorsey, A, Haines, B, Harvey, N, Hemberger, D, et al.. Gipsyx/rtgx, a new tool set for space geodetic operations and research. Adv Space Res 2020;66:469–89. https://doi.org/10.1016/j.asr.2020.04.015.Search in Google Scholar
45. Takasu, T, Kubo, N, Yasuda, A. Development, evaluation and application of RTKLIB: a program library for RTK-GPS. In: Proceedings of the GPS/GNSS Symposium 2007, Tokyo, Japan; 2007.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Ionospheric TEC modeling using COSMIC-2 GNSS radio occultation and artificial neural networks over Egypt
- Regional GPS orbit determination using code-based pseudorange measurement with residual correction model
- Analysis of different combinations of gravity data types in gravimetric geoid determination over Bali
- Assessment of satellite images terrestrial surface temperature and WVP using GNSS radio occultation data
- GNSS positioning accuracy performance assessments on 1st and 2nd generation SBAS signals in Thailand
- Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya
- Advanced topographic-geodetic surveys and GNSS methodologies in urban planning
- Detection of GNSS ionospheric scintillations in multiple directions over a low latitude station
- Spatiotemporal postseismic due to the 2018 Lombok earthquake based on insar revealed multi mechanisms with long duration afterslip
- Practical implications in the interpolation methods for constructing the regional mean sea surface model in the eastern Mediterranean Sea
- Validation of a tailored gravity field model for precise quasigeoid modelling over selected sites in Cameroon and South Africa
- Evaluation of ML-based classification algorithms for GNSS signals in ocean environment
- Development of a hybrid geoid model using a global gravity field model over Sri Lanka
- Implementation of GAGAN augmentation on smart mobile devices and development of a cooperative positioning architecture
- On the GPS signal multipath at ASG-EUPOS stations
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Ionospheric TEC modeling using COSMIC-2 GNSS radio occultation and artificial neural networks over Egypt
- Regional GPS orbit determination using code-based pseudorange measurement with residual correction model
- Analysis of different combinations of gravity data types in gravimetric geoid determination over Bali
- Assessment of satellite images terrestrial surface temperature and WVP using GNSS radio occultation data
- GNSS positioning accuracy performance assessments on 1st and 2nd generation SBAS signals in Thailand
- Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya
- Advanced topographic-geodetic surveys and GNSS methodologies in urban planning
- Detection of GNSS ionospheric scintillations in multiple directions over a low latitude station
- Spatiotemporal postseismic due to the 2018 Lombok earthquake based on insar revealed multi mechanisms with long duration afterslip
- Practical implications in the interpolation methods for constructing the regional mean sea surface model in the eastern Mediterranean Sea
- Validation of a tailored gravity field model for precise quasigeoid modelling over selected sites in Cameroon and South Africa
- Evaluation of ML-based classification algorithms for GNSS signals in ocean environment
- Development of a hybrid geoid model using a global gravity field model over Sri Lanka
- Implementation of GAGAN augmentation on smart mobile devices and development of a cooperative positioning architecture
- On the GPS signal multipath at ASG-EUPOS stations
