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Research ArticleOriginal Article
Open Access

Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation

Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei, and Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation December 2022, 69 (4) navi.543; DOI: https://doi.org/10.33012/navi.543
Xiang Wang
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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Xiaowei Cui
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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  • For correspondence: [email protected]
Gang Liu
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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Kefan Wei,
2North Information Control Research Academy Group Co. Ltd., Nanjing 211153, China
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Mingquan Lu
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
3Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
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REFERENCES

  1. ↵
    1. Cui X. W.
    (2020). Applicability analysis of the filter gain roll-off in DFMC SBAS receiver design constraints for BDS B1C and B2a signal [Working paper]. ICAO.
  2. ↵
    1. Fenton, P. C., &
    2. Jones, J.
    (2005). The theory and performance of NovAtel Inc.’s Vision Correlator. Proc. of the 18th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2005), Long Beach, CA, 2178–2186. https://www.ion.org/publications/abstract.cfm?articleID=6420
  3. ↵
    1. Fontanella, D.,
    2. Paonni, M., &
    3. Eissfeller B.
    (2010). A novel evil waveforms threat model for new generation GNSS signals: theoretical analysis and performance. 2010 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITECH), Noordwijk, Netherlands. https://doi.org/10.1109/NAVITEC.2010.5708037
  4. ↵
    1. He, C. Y.,
    2. Guo, J.,
    3. Lu, X.,
    4. Wang, X.,
    5. Rao, Y.,
    6. Kang, L., &
    7. Hu, Z.
    (2018). A new evil waveforms evaluating method for new BDS navigation signals. GPS Solutions, 22. https://doi.org/10.1007/s10291-018-0698-x
  5. ↵
    1. International Civil Aviation Organization (ICAO)
    . (2006). International standards and recommended practices: Annex 10 to the convention on international civil aviation – aeronautical telecommunications (6th Ed., Vol. 1). ICAO.
  6. ↵
    1. International Civil Aviation Organization (ICAO)
    . (2018). DFMC SBAS SARPs – part B (Working Paper No. DS2/WP/3 v2.0). DFMC SBAS SARPs Sub Group (DS2). ICAO. https://www.icao.int/airnavigation/Documents/NSP5_Report%20on%20Agenda%20Item%202.APPENDIX%20A2%20-%20DFMC%20SBAS%20SARPS%20Part%20B.pdf
  7. ↵
    1. Li, R.,
    2. Tang, X., &
    3. Ou, G.
    (2017). GNSS signal quality analysis technique based on chip measurement. 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China. https://doi.org/10.1109/ITOEC.2017.8122339
  8. ↵
    1. Pagot, J. -B.,
    2. Thevenon, P.,
    3. Julien, O.,
    4. Gregoire, Y.,
    5. Fernández, F. A., &
    6. Maillard, D.
    (2015). Estimation of GNSS signals’ nominal distortions from correlation and chip domain. Proc. of the 2015 International Technical Meeting of the Institute of Navigation, Dana Point, CA, 415–427. https://www.ion.org/publications/abstract.cfm?articleID=12640
    1. Pagot, J. -B.,
    2. Thevenon, P.,
    3. Julien, O.,
    4. Amarillo-Fernández, F., &
    5. Maillard, D.
    (2016). Threat models design for new GNSS signals. Proc. of the 2016 International Technical Meeting of the Institute of Navigation, Monterey, CA, 970–982. https://doi.org/10.33012/2016.13476
  9. ↵
    1. Pagot, J. -B.
    (2016). Modeling and monitoring of new GNSS signal distortions in the context of civil aviation [Doctoral dissertation, University of Toulouse]. HAL theses. https://tel.archives-ouvertes.fr/tel-01528481
  10. ↵
    1. Pagot, J. -B.,
    2. Julien, O.,
    3. Thevenon, P.,
    4. Fernandez, F. A., &
    5. Cabantous, M.
    (2018). Signal quality monitoring for new GNSS signals. NAVIGATION, 65(1), 83–97. https://doi.org/10.1002/navi.218
  11. ↵
    1. Phelts, R. E.
    (2001). Multi-correlator techniques for robust mitigation of threats to GPS signal quality [Doctoral dissertation, Stanford University]. Stanford University Archives. https://web.stanford.edu/group/scpnt/gpslab/pubs/theses/EricPheltsThesis01.pdf
  12. ↵
    1. Phelts, R. E.,
    2. Walter, T., &
    3. Enge, P.
    (2003). Toward real-time SQM for WAAS: improved detection techniques. Proc. of the 16th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, 2739–2749. https://www.ion.org/publications/abstract.cfm?articleID=5462
  13. ↵
    1. Phelts, R. E.,
    2. Wong, G.,
    3. Walter, T., &
    4. Enge, P.
    (2013). Signal deformation monitoring for dual-frequency WAAS. Proc. of the 2013 International Technical Meeting of the Institute of Navigation, San Diego, CA, 93–106. https://www.ion.org/publications/abstract.cfm?articleID=10817
  14. ↵
    1. Selmi, I.,
    2. Thevenon, P.,
    3. Macabiau, C.,
    4. Julien, O., &
    5. Mabilleau, M.
    (2020). Signal quality monitoring algorithm applied to Galileo signals for large evil waveform threat space. Proc. of the 2020 International Technical Meeting of the Institute of Navigation, San Diego, CA, 352–365. https://doi.org/10.33012/2020.17149
  15. ↵
    1. Shallberg, K. W.,
    2. Ericson, S. D.,
    3. Phelts, E.,
    4. Walter, T.,
    5. Kovach, K., &
    6. Altshuler, E.
    (2017). Catalog and description of GPS and WAAS L1 C/A signal deformation events. Proc. of the 2017 International Technical Meeting of the Institute of Navigation, Monterey, CA, 508–520. https://doi.org/10.33012/2017.14877
  16. ↵
    1. Sun, C.,
    2. Zhao, H.,
    3. Feng, W., &
    4. Zhuang, C.
    (2016). A novel digital threat model and effect analysis on modernized BeiDou signals. Proc. of the 2016 International Technical Meeting of the Institute of Navigation, Monterey, CA, 401–413. https://doi.org/10.33012/2016.13426
  17. ↵
    1. Thevenon, P.,
    2. Pagot, J. -B.,
    3. Julien, O., &
    4. Tessier, Q.
    (2014). Processing technique and performance of the observation of evil waveform in the chip domain. Proc. of the 7th ESA Workshop on Satellite Navigation Technologies, Noordwijk, Netherlands. https://hal-enac.archives-ouvertes.fr/hal-01094193
  18. ↵
    1. Walter, T.,
    2. Blanch, J.,
    3. Phelts, R. E., &
    4. Enge, P.
    (2012). Evolving WAAS to serve L1/L5 users. NAVIGATION, 59(4), 317–327. https://doi.org/10.1002/navi.21
  19. ↵
    1. Wang, X.,
    2. Gao, Y.,
    3. Cui, X.,
    4. Liu, G., &
    5. Lu, M.
    (2021a). A signal quality monitoring algorithm based on chip domain observables for BDS B1C signal. Proc. of the 2021 International Technical Meeting of the Institute of Navigation, Virtual, 149–161. https://doi.org/10.33012/2021.17810
  20. ↵
    1. Wang, X.,
    2. Cui, X.,
    3. Wei, K.,
    4. Liu, G.,
    5. Gao, Y., &
    6. Lu, M.
    (2021b). Signal quality monitoring algorithms of DFMC SBAS for dual-frequency civil signals of BDS. In C. Yang & J. Xie (Eds.), China Satellite Navigation Conference (CSNC 2021) Proceedings: Volume II. Lecture Notes in Electrical Engineering (Vol. 773, pp. 75–91). Springer. https://doi.org/10.1007/978-981-16-3142-9_8
  21. ↵
    1. Wei, K.,
    2. Cui, X.,
    3. Wen, J., &
    4. Lu, M.
    (2020). A research on modeling and monitoring of new BDS B1C signal distortions in the context of BeiDou satellite based augmentation system. Proc. of the 2020 International Technical Meeting of the Institute of Navigation, San Diego, CA, 341–351. https://doi.org/10.33012/2020.17148
  22. ↵
    1. Weill, L. R.
    (2007). Theory and applications of signal compression in GNSS receivers. Proc. of the 20th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2007), Fort Worth, TX, 708–719. https://www.ion.org/publications/abstract.cfm?articleID=7571
  23. ↵
    1. Xie, G.
    (2004). Optimal on-airport monitoring of the integrity of GPS-based landing systems [Doctoral dissertation, Stanford University]. Stanford University Archives. https://web.stanford.edu/group/scpnt/gpslab/pubs/theses/GangXieThesis04.pdf
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NAVIGATION: Journal of the Institute of Navigation: 69 (4)
NAVIGATION: Journal of the Institute of Navigation
Vol. 69, Issue 4
Winter 2022
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Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation
Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei,, Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation Dec 2022, 69 (4) navi.543; DOI: 10.33012/navi.543

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Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation
Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei,, Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation Dec 2022, 69 (4) navi.543; DOI: 10.33012/navi.543
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  • Article
    • Abstract
    • 1 INTRODUCTION
    • 2 CONTEXTS OF THIS STUDY
    • 3 OVERVIEWS OF CDO-BASED SQM AND ITS DESIGN METHODOLOGY
    • 3.2 Overview of Design Methodology for CDO-Based SQM
    • 4 DESIGN PROCESS OF CDO-BASED SQM
    • 5 ASSESSMENT AND SIMPLIFICATION OF BASELINE ALGORITHM
    • 6 CONCLUSION AND FUTURE WORK
    • HOW TO CITE THIS ARTICLE
    • ACKNOWLEDGMENTS
    • APPENDIX A DERIVATION OF THE APPROXIMATE MEAN OF THE EIGHT MDES
    • APPENDIX B DEFINITIONS OF THE FEATURED LENGTHS FOR CONSTRAINTS ON SELECTION OF CODE-PHASE BIN LENGTH WITH NOMINAL SIGNALS
    • APPENDIX C RESULTS OF ASSESSMENTS FOR L1 SIGNALS
    • REFERENCES
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Keywords

  • chip domain observable
  • CDO
  • design methodology
  • dual-frequency multi-constellation
  • DFMC
  • satellite-based augmentation system
  • SBAS
  • signal quality monitoring
  • SQM

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