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Angle-of-Arrival GPS Integrity Monitoring Insensitive to Satellite Constellation Geometry

  • Igor Tsikin
  • Antonina MelikhovaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9870)

Abstract

Signals in global navigation satellite systems (GNSS) due to weak power are vulnerable to structural interferences which can lead to a significant deviation of the position solution from its true value. In aviation, UAV-controlling or some another life critical applications misleading coordinate information is a great threat so that procedures to detect such GNSS integrity failure are under a big concern. This paper is focused on decision-making algorithm for the failure detection applied to Angle-of-Arrival (A-o-A) integrity monitoring method in a case when the fixed decision threshold is preset in accordance with false alarm probability restricted for all possible observing satellite constellations. Decision threshold value was obtained for a different number of satellites by statistical simulations for quite a number of randomly generated satellite constellations with suitable geometric dilution of precision (GDOP) level. Minimum number of navigation signals was estimated for the situation when the simplest three elements antenna array implemented on compact UAV is used for a direction-finding procedure. As a result A-o-A integrity monitoring efficiency was estimated for real GPS satellite constellation under conditions when decision threshold was fixed as insensitive to satellite constellation geometry.

Keywords

Global navigation satellite systems Interference mitigation Spoofing detection Antenna array 

References

  1. 1.
    Gleason, S., Gebre-Egziabher, D.: GNSS Applications and Methods. Artech House, London (2009)Google Scholar
  2. 2.
    Jan, S.S., Tao, A.L.: The open service signal in space navigation data comparison of the global positioning system and the BeiDou navigation satellite system. Sensors 14, 15182–15202 (2014)CrossRefGoogle Scholar
  3. 3.
    Bartone, C.G.: IEEE: a terrestrial positioning and timing system (TPTS). In: 2012 IEEE/ION Position Location and Navigation Symposium (Plans), pp. 1175–1182 (2012)Google Scholar
  4. 4.
    Elkaim, G.H., Lizarraga, M., Pedersen, L.: IEEE: comparison of low-cost GPS/INS sensors for autonomous vehicle applications. In: 2008 IEEE/ION Position, Location and Navigation Symposium, vol. 1–3, pp. 285–296 (2008)Google Scholar
  5. 5.
    Wang, J.L., Liao, C.S., Inst, N.: Time and frequency dissemination system for synchronization applications at TL. In: Proceedings of the ION 2015 Pacific PNT Meeting, pp. 985–992 (2015)Google Scholar
  6. 6.
    Stubberud, S.C., Kramer, K.A.: IEEE: threat assessment for GPS navigation. In: 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014), pp. 287–292 (2014)Google Scholar
  7. 7.
    Azoulai, L.: ION: GNSS threats and aviation, mitigation techniques, alternatives and regulation. In: Proceedings of the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2011), pp. 1897–1906 (2011)Google Scholar
  8. 8.
    Wang, E.S., Yue, X.D., Pang, T., Zhang, Z.X.: Research on GPS receiver autonomous integrity monitoring algorithm in the occurrence of two-satellite faults. In: International Conference on Electronic, Information and Computer Engineering (ICEICE) (Year)Google Scholar
  9. 9.
    Tao, H.Q., Li, H., Lu, M.Q.: A GNSS anti-spoofing method based on the cooperation of multiple techniques. In: China Satellite Navigation Conference (CSNC) 2015 Proceedings, vol I 340, pp. 205–215 (2015)Google Scholar
  10. 10.
    Khanafseh, S., Roshan, N., Langel, S., Chan, F.C., Joerger, M., Pervan, B.: IEEE: GPS spoofing detection using RAIM with INS coupling. In: 2014 IEEE/ION Position, Location and Navigation Symposium - Plans 2014, pp. 1232–1239 (2014)Google Scholar
  11. 11.
    Dvorska, J., Podivin, L., Musil, M., Zaviralova, L., Kren, M., Inst, N.: GBAS CAT II/III business aircraft flight trials and validation - phase 1. In: Proceedings of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2014), pp. 822–834 (2014)Google Scholar
  12. 12.
    Bitner, T., Preston, S., Bevly, D., Inst, N.: Multipath and spoofing detection using angle of arrival in a multi-antenna system. In: Proceedings of the 2015 International Technical Meeting of the Institute of Navigation, pp. 822–832 (2015)Google Scholar
  13. 13.
    Xu, K.J., Nie, W.K., Feng, D.Z., Chen, X.J., Fang, D.Y.: A multi-direction virtual array transformation algorithm for 2D DOA estimation. Sig. Process. 125, 122–133 (2016)CrossRefGoogle Scholar
  14. 14.
    Psiaki, M.L., Powell, S.P., O’hanlon, B.W.: GNSS spoofing detection using high-frequency antenna motion and carrier-phase data, pp. 2949–2991, Nashville (2013)Google Scholar
  15. 15.
    Magiera, J., Katulski, R.: Accuracy of differential phase delay estimation for GPS spoofing detection. In: 2013 36th International Conference on Telecommunications and Signal Processing (TSP), pp. 695–699 (2013)Google Scholar
  16. 16.
    Magiera, J., Katulski, R.: Detection and mitigation of GPS spoofing based on antenna array processing. J. Appl. Res. Technol. 13, 45–57 (2015)CrossRefGoogle Scholar
  17. 17.
    Melikhova, A., Tsikin, I.: Antenna array with a small number of elements for angle-of-arriving GNSS integrity monitoring. In: 2016 39th International Conference on Telecommunications and Signal Processing (TSP). IEEE, pp. 190–193 (2016)Google Scholar
  18. 18.
    Daneshmand, S., Jafarnia-Jahromi, A., Broumandan, A., Lachapelle, G.: IEEE: a GNSS structural interference mitigation technique using antenna array processing. In: 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 109–112 (Year)Google Scholar
  19. 19.
    Tsikin, I.A., Melikhova, A.P.: Optimization of angle-of-arrival GPS integrity monitoring. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2015. LNCS, vol. 9247, pp. 722–728. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  20. 20.
    Montenbruck, O., Schmid, R., Mercier, F., Steigenberger, P., Noll, C., Fatkulin, R., Kogure, S., Ganeshan, A.S.: GNSS satellite geometry and attitude models. Adv. Space Res. 56, 1015–1029 (2015)CrossRefGoogle Scholar
  21. 21.
    Wang, X.R., Aboutanios, E., Amin, M., Pui, C.Y., Inst, N.: Off-grid high resolution DOA estimation for GNSS circular array receivers. In: Proceedings of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2014), pp. 2260–2267 (2014)Google Scholar
  22. 22.
    Melikhova, A., Tsikin, I.: Angle of arrival method for global navigation satellite systems integrity monitoring. St. Petersburg State Polytech. Univ. J. Comput. Sci. Telecommun. Control Syst. 212(1), 37–49 (2015)Google Scholar
  23. 23.
    Kaplan, E., Hegarty, C.: Understanding GPS: Principles and Applications. Artech House, London (2005)Google Scholar
  24. 24.
    Tsikin, I.A., Melikhova, A.P.: The angle-of-arrival integrity monitoring efficiency under multiple observations. Radioengineering 9, 69–77 (2015)Google Scholar
  25. 25.
    Chen, C.S.: Weighted geometric dilution of precision calculations with matrix multiplication. Sensors 15, 803–817 (2015)CrossRefGoogle Scholar
  26. 26.
    Teng, Y.L., Wang, J.L.: New characteristics of geometric dilution of precision (GDOP) for multi-GNSS constellations. J. Navig. 67, 1018–1028 (2014)CrossRefGoogle Scholar
  27. 27.
    Guochang, X.: GPS: Theory, Algorithms and Applications. Springer Science & Business Media, Heidelberg (2007)Google Scholar
  28. 28.
    Petrovski, I.G.: GPS, GLONASS, Galileo, and BeiDou for Mobile Devices: From Instant to Precise Positioning. Cambridge University Press, Cambridge (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.St. Petersburg Polytechnic UniversitySt. PetersburgRussia

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