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Examination of different models of troposphere delays in SBAS positioning in aerial navigation

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents the results of a study on the use of different tropospheric correction models in SBAS positioning for air navigation. The paper, in particular, determines the influence of the Saastamoinen troposphere and RTCAMOPS models on the determination of aircraft coordinates and mean coordinate errors in the SBAS positioning method. The study uses real kinematic data from a GPS navigation system recorded by an onboard GNSS satellite receiver as well as SBAS corrections. In the experiment, the authors include SBAS corrections from EGNOS and SDCM augmentation systems. The navigation calculations were performed using RTKLIB v.2.4.3 and Scilab 6.1.1 software. Based on the conducted research, it was found that the difference in aircraft coordinates using different troposphere models can reach up to ±2.14 m. Furthermore, the use of the RTCA-MOPS troposphere model improved the values of mean coordinate errors from 5 to 9% for the GPS+EGNOS solution and from 7 to 12% for the GPS+SDCM solution, respectively. The obtained computational findings confirm the validity of using the RTCA-MOPS troposphere model for SBAS positioning in aerial navigation.
Rocznik
Tom
Strony
123--137
Opis fizyczny
Bibliogr. 25 poz.
Twórcy
  • Institute of Navigation, Polish Air Force University, Dywizjonu 303 nr 35 Street, 08-521 Dęblin, Poland
  • Institute of Navigation, Polish Air Force University, Dywizjonu 303 nr 35 Street, 08-521 Dęblin, Poland
Bibliografia
  • 1. International Civil Aviation Organization. 2006. ICAO Standards and Recommended Practices (SARPS), Annex 10, Volume I (Radio Navigation Aids). Available at: http://www.ulc.gov.pl/pl/prawo/prawomi%C4%99dzynarodowe/206-konwencje.
  • 2. Ciećko A. 2019. “Analysis of the EGNOS quality parameters during high ionosphere activity”. IET Radar, Sonar & Navigation 13(7): 1131-1139. DOI: 10.1049/ietrsn. 2018.5571.
  • 3. Grunwald G., A. Ciećko, M. Bakuła, R. Kaźmierczak. 2016. “Examination of GPS/EGNOS integrity in north-eastern Poland”. IET Radar, Sonar & Navigation, 10(1): 114-121. DOI: 10.1049/iet-rsn.2015.0053.
  • 4. Bosy J. 2005. “Precise processing of satellite GPS observations in local networks located in mountain areas”. Zeszyty Naukowe Akademii Rolniczej we Wrocławiu 522: 1-155.
  • 5. Guilbert A. 2016. “Optimal GPS/GALILEO GBAS methodologies with an application to troposphere. Signal and Image processing”. PhD thesis. INP Toulouse. 301 p.
  • 6. Park K.-D., H.-C. Lee, M.-S. Kim, Y.-G. Kim, S. W. Seo, J. Park. 2018. “Accuracy Comparison of GPT and SBAS Troposphere Models for GNSS Data Processing”. Journal of Positioning, Navigation, and Timing 7(3): 183-188. DOI: https://doi.org/10.11003/JPNT.2018.7.3.183.
  • 7. Mohammed J., R. M. Bingley, T. Moore, C. Hill. 2020. “Alternative Strategy for Estimating Zenith Tropospheric Delay from Precise Point Positioning”. 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS): 247-258. DOI: 10.1109/PLANS46316.2020.9110211.
  • 8. Dautermann T., T. Ludwig, R. Geister, L. Ehmke. 2020. “Extending access to localizer performance with vertical guidance approaches by means of an SBAS to GBAS converter”. GPS Solutions 24: 37. DOI: 10.1007/s10291-019-0947-7.
  • 9. Krzykowska-Piotrowska K., E. Dudek, P. Wielgosz, B. Milanowska, J. M. Batalla. 2021. “On the Correlation of Solar Activity and Troposphere on the GNSS/EGNOS Integrity. Fuzzy Logic Approach”. Energies 14: 4534.
  • 10. Huang L., S. Xie, L. Liu, J. Li, J. Chen, C. Kang. 2017. “SSIEGNOS: A New Asian Single Site Tropospheric Correction Model”. ISPRS Int. J. Geo-Inf. 6: 20. DOI: 10.3390/ijgi6010020.
  • 11. Ueno M., K. Hoshinoo, K. Matsunaga, M. Kawai, H. Nakao, R.B. Langley, S.B. Bisnath. 2001. “Assessment of Atmospheric Delay Correction Models for the Japanese MSAS”. Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2001). Salt Lake City, UT, September 2001. P. 2341-2350.
  • 12. Chen J., Y. Zhang, C. Yu, A. Wang, Z. Song, J. Zhou. 2022. “Models and performance of SBAS and PPP of BDS”. Satell Navig 3: 4. DOI: 10.1186/s43020-022-00065-3.
  • 13. Zhang H, Y. Yuan, W. Li, Y. Li, Y. Chai. 2016. “Assessment of Three Tropospheric Delay Models (IGGtrop, EGNOS and UNB3m) Based on Precise Point Positioning in the Chinese Region”. Sensors 16: 122. DOI: 10.3390/s1601012.
  • 14. Yang L., J. Wang, H. Li, T. Balz. 2021. “Global Assessment of the GNSS Single Point Positioning Biases Produced by the Residual Tropospheric Delay”. Remote Sensing 13: 1202. DOI: 10.3390/rs13061202.
  • 15. Dach R., S. Lutz, P. Walser, P. Fridez. 2015. Bernese GNSS software version 5.2. Astronomical Institute, University of Bern. ISBN: 978-3-906813-05-9.
  • 16. Sanz Subirana J., J.M. Juan Zornoza, M. Hernández-Pajares. 2013. GNSS Data Processing. Volume I: Fundamentals and Algorithms. Publisher: ESA Communications. ESTEC, Noordwijk, Netherlands. ISBN: 978-92-9221-886-7.
  • 17. IGS MGEX Service. Available at: https://igs.org/mgex/constellations/.
  • 18. Nie Z., P. Zhou, F. Liu, Z. Wang, Y. Gao. 2019. “Evaluation of Orbit, Clock and Ionospheric Corrections from Five Currently Available SBAS L1 Services: Methodology and Analysis”. Remote Sensing 11: 411. DOI: 10.3390/rs11040411.
  • 19. Ciećko A., M. Bakuła, G. Grunwald, J. Ćwiklak. 2020. “Examination of Multi-Receiver GPS/EGNOS Positioning with Kalman Filtering and Validation Based on CORS Stations”. Sensors 20: 2732. DOI: 10.3390/s20092732.
  • 20. Osada E. 2001. Geodesy. Oficyna Wydawnicza Politechniki Wroclawskiej: Wroclaw. Volume 92. ISBN: 83-7085-663-2.
  • 21. NavtechGPS company website. Available at: https://www.navtechgps.com/brands/septentrio/.
  • 22. CNES service website. Available at: fttp://serenad-public.cnes.fr/SERENAD0.
  • 23. RTKLIB Website. Available at: https://www.rtklib.com.
  • 24. Takasu T. 2013. RTKLIB Ver. 2.4.2 Manual, RTKLIB: An Open Source Program Package for GNSS Positioning. Available at: http://www.rtklib.com/prog/manual_2.4.2.pdf.
  • 25. Scilab Website. Available at: https://www.scilab.org.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ae05fdce-00cb-45a1-99d4-cfbe1fec21cf
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