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Quality Analysis of Multi-GNSS Observation Data Based on IGMAS

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China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume II (CSNC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 651))

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Abstract

The quality of GNSS (Global Navigation Satellite System) observation data is the primary factor affecting the accuracy of navigation satellite orbit determination, and it is an important reference for the application of observation data. Based on the GNSS observation data of iGMAS (International GNSS Monitoring & Assessment System) tracking stations, GPS, BeiDou, Galileo and GLONASS observation data quality are compared and analysed, including carrier-to-noise ratio (C/N0), multipath effect (MP) and carrier phase noise. The characteristics of BeiDou global experimental satellites (BDS-3) signal quality are studied. The differences of inter system biases (ISB) of BDS-3 and the regional BeiDou satellite navigation system (BDS-2) relative to GPS are analysed. The results show that the C/N0 of BDS-3 B1I and B3I signals are improved comparing with that of the same signals of BDS-2. The C/N0 of BDS-3 B1C and B2a signals are comparable to that of GPS and Galileo signals at the same frequency. The MP effects of BDS-3 signals do not exist the elevation-dependent systematic biases which exist in that of BDS-2 signals. The MP effects of BDS-3 B1I and B3I signals are smaller than those of the same signals of BDS-2. The MP effects of BDS-3 B1C and B2a signals are equivalent to those of GPS and Galileo signals at the same frequency. The carrier phase noise of BDS-3 B1I-B3I combination is the smallest. The carrier phase noise of BDS-3 B1C-B2a combination is smaller than that of GPS L1-L5 and Galileo E1-E5a. The daily ISB variation of BDS-3 relative to GPS is more stable than that of BDS-2 relative to GPS.

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References

  1. Yang, Y., Li, J., Wang, A., et al.: Progress and performance evaluation of BeiDou global navigation satellite system: data analysis based on BDS-3 demonstration system. Sci. China Earth Sci. 61(5), 614–624 (2018)

    Article  Google Scholar 

  2. Yang, Y., Mao, Y., Sun, B.: Basic performance and future developments of BeiDou global navigation satellite system. Satell. Navig. 1, 1–8 (2020)

    Article  Google Scholar 

  3. Zhang, X., Wu, M., Liu, W., et al.: Initial assessment of the COMPASS/BeiDou-3: new-generation navigation signals. J. Geodesy 91(10), 1225–1240 (2017)

    Article  Google Scholar 

  4. Yang, Y., Li, J., Wang, A., et al.: Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system. Sci. China Earth Sci. 57(1), 144–152 (2013)

    Article  Google Scholar 

  5. Wanninger, L., Beer, S.: BeiDou satellite-induced code pseudorange variations: diagnosis and therapy. GPS Solutions 19(4), 639–648 (2015)

    Article  Google Scholar 

  6. Brunner, F., Hartinger, H., Troyer, L.: GPS signal diffraction modelling: the stochastic SIGMA-Δ model. J. Geodesy 73, 259–267 (1999)

    Article  Google Scholar 

  7. Wang, G., Jong, K., Zhao, Q., et al.: Multipath analysis of code measurements for BeiDou geostationary satellites. GPS Solutions 19, 129–139 (2014)

    Article  Google Scholar 

  8. Zhang, X., Ding, L.: Quality analysis of the second generation compass observables and stochastic model refining. Geomat. Inf. Sci. Wuhan Univ. 38(07), 832–836 (2013)

    Google Scholar 

  9. Zhang, B., Jia, X., Sun, F., et al.: Performance of BeiDou-3 satellites: signal quality analysis and precise orbit determination. Adv. Space Res. 64(3), 687–695 (2019)

    Article  Google Scholar 

  10. Huang, C., Song, S., Chen, Q., et al.: Preliminary analysis of BDS-3 data based on iGMAS. Acta Astronomica Sinica 60(2), 50–61 (2019)

    Google Scholar 

  11. Cheng, J., Wang, W., Ma, L., et al.: Preliminary analysis of observation quality and positioning precision for BDS-3 satellites. Bull. Surv. Mapp. 8, 1–7 (2019)

    Google Scholar 

  12. Su, X.: The data quality check methods of iGMAS monitoring receive and software implementation. University of Chinese Academy of Sciences (2014)

    Google Scholar 

  13. Huang, J., Liu, J., Liu, C., et al.: On C/N0 of received GPS signal. Geomat. Inf. Sci. Wuhan Univ. 32(5), 427–430, 434 (2007)

    Google Scholar 

  14. Ye, X.: Research on processing method of GNSS station environment error and its application using SNR data. China University of Geosciences (2016)

    Google Scholar 

  15. Pan, Y., Li, G.: Analysis of L2C signal based on GPS precise point positioning. J. Geodesy Geodyn. 39(08), 821–824 (2019)

    Google Scholar 

  16. Fan, S., Guo, J.: Accuracy analysis on civilian P(Y) code pseudoranges and its application on point positioning. Eng. Surv. Mapp. 16(04), 63–66 (2007)

    Google Scholar 

  17. Braasch, M.: Multipath effects. In: Global Positioning Systems: Theory and Applications, vol. 1, pp. 547–568. American Institute of Aeronautics and Astronautics (1996). Chap. 14

    Google Scholar 

  18. Li, X., Zhang, X.: Comparison of satellite-induced code bias between BDS-2 and BDS-3 satellite. J. Geodesy Geodyn. 38(02), 191–194 (2018)

    Google Scholar 

  19. Gu, D.: The spatial states measurement and estimation of distributed InSAR satellite system. National University of Defense Technology (2009)

    Google Scholar 

  20. Dalla, A., Caporali, A.: An analysis of intersystem biases for multi-GNSS positioning. GPS Solutions 19(2), 297–307 (2014)

    Google Scholar 

  21. Chen, J., Xiao, P., Zhang, Y., et al.: GPS/GLONASS system bias estimation and application in GPS/GLONASS combined positioning. In: Proceeding of the China Satellite Navigation Conference (CSNC) 2013. Lecture Notes in Electrical Engineering, vol. 244, pp. 323–333 (2013)

    Google Scholar 

  22. Odijk, D., Teunissen, P.: Characterization of between-receiver GPS-Galileo inter-system biases and their effect on mixed ambiguity resolution. GPS Solutions 17(4), 521–533 (2013)

    Article  Google Scholar 

  23. Paziewski, J., Sieradzki, R., Wielgosz, P.: Selected properties of GPS and Galileo-IOV receiver intersystem biases in multi-GNSS data processing. Meas. Sci. Technol. 26(9), 095008 (2015)

    Article  Google Scholar 

  24. Jiang, N., Xu, Y., Xu, T., et al.: GPS/BDS short-term ISB modelling and prediction. GPS Solutions 21(1), 1–13 (2016)

    Google Scholar 

  25. Li, X., Zus, F., Lu, C., et al.: Retrieving of atmospheric parameters from multi-GNSS in real-time: validation with water vapor radiometer and numerical weather model. J. Geophys. Res. Atmos. 120(4), 7189–7204 (2015)

    Article  Google Scholar 

  26. Liu, X., Jiang, W., Chen, H., et al.: An analysis of inter-system biases in BDS/GPS precise point positioning. GPS Solutions 23(4), 116 (2019)

    Article  Google Scholar 

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Acknowledgments

This study is funded by the international GNSS Monitoring & Assessment System (iGMAS) data center. This work is also supported by National Science Foundation of China (41874028, 11771450).

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Authors and Affiliations

  1. College of Liberal Arts and Sciences, National University of Defence and Technology, Changsha, 410073, Hunan, China

    Houzhe Zhang, Kai Shao & Xiaojun Duan

  2. School of Physics and Astronomy, Sun Yat-Sen University (Zhuhai Campus), Zhuhai, 519082, Guangdong, China

    Defeng Gu

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  1. Houzhe Zhang
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  2. Kai Shao
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  4. Xiaojun Duan
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Corresponding author

Correspondence to Defeng Gu .

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Editors and Affiliations

  1. China Aerospace Science and Technology Corporation, Beijing, Beijing, China

    Jiadong Sun

  2. China Satellite Navigation Engineering Center, Beijing, Beijing, China

    Changfeng Yang

  3. China Academy of Space Technology, Beijing, Beijing, China

    Jun Xie

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Zhang, H., Shao, K., Gu, D., Duan, X. (2020). Quality Analysis of Multi-GNSS Observation Data Based on IGMAS. In: Sun, J., Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume II. CSNC 2020. Lecture Notes in Electrical Engineering, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-15-3711-0_16

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  • DOI: https://doi.org/10.1007/978-981-15-3711-0_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3710-3

  • Online ISBN: 978-981-15-3711-0

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