Direct Signal Processing for GNSS Integrity Monitoring

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10531)


Angle-of-arrival (AOA) integrity monitoring method for global-navigation satellite systems (GNSS) is discussed. In accordance with the AOA method, the direct decision making procedure (DDMP) about integrity presence or absence is created on the basis of direct antenna array signal processing. The DDMP is statistically simulated, and thus the most important characteristics, such as false alarm and missed detection probabilities, are estimated for different planar antenna arrays. The results of simulations show the algorithms efficiency areas for different structures of antenna arrays, so that finally the relationship between the number of antenna elements and missed detection probability are achieved for different number of analyzing signals. Comparison of DDMP with the decision making procedure for the AOA method, based on direction finding results post-processing, shows efficiency of DDMP both in terms of probability based characteristics and required computational costs.


Interference mitigation Global navigation satellite systems GNSS integrity monitoring Generalized likelihood ratio test Angle of arrival Direction finding 


  1. 1.
    Xu, G.: GPS: theory, algorithms and applications (2007)Google Scholar
  2. 2.
    Kaplan, E., Hegarty, C.: Understanding GPS: principles and applications. Artech house, Norwood (2005)Google Scholar
  3. 3.
    Milner, C.: Bayesian Inference of GNSS failures (2016)Google Scholar
  4. 4.
    Ahn, J.: Orbit ephemeris failure detection in a GNSS regional application (2015)Google Scholar
  5. 5.
    Sathyamoorthy, D.: Global navigation satellite system (GNSS) spoofing: a review of growing risks and mitigation steps. Defence S&T Tech. Bull. 6(1), 42–61 (2013)Google Scholar
  6. 6.
    Schmidt, D.: A survey and analysis of the GNSS spoofing threat and countermeasures (2016)Google Scholar
  7. 7.
    Tippenhauer, N.O.: On the requirements for successful GPS spoofing attacks, 2011\Tao, A recursive receiver autonomous integrity monitoring (Recursive-RAIM) Technique for GNSS Anti-Spoofing (2015)Google Scholar
  8. 8.
    Binjammaz, T., Al-Bayatti, A., Al-Hargan, A.: GPS integrity monitoring for an intelligent transport system. In: 2013 10th Workshop on Positioning Navigation and Communication (WPNC). IEEE (2013)Google Scholar
  9. 9.
    Bitner, T.L.: Detection and removal of erroneous GPS signals using angle of arrival, Dissertation. Auburn University (2013)Google Scholar
  10. 10.
    Melikhova, A., Tsikin, I.: Antenna array with a small number of elements for angle-of-arriving GNSS integrity monitoring. In: IEEE 39th International Conference on Telecommunications and Signal Processing (TSP), pp. 190–193 (2016)Google Scholar
  11. 11.
    Harms, J.K.: Synthetic aperture digital beamsteering array for global positioning system interference mitigation: a study on array topology. Dissertation (2014)Google Scholar
  12. 12.
    Irteza, S.: Compact antenna array receiver for robust satellite navigation systems. Int. J. Microwave Wirel. Technol. 7(06), 735–745 (2015)CrossRefGoogle Scholar
  13. 13.
    Glonass. Principy postroeniya i funkcionirovaniya/ pod red. A. I. Pero-va, V.N. Harisova. Izd. 4-oe, pererab. i dop. – M.: Radiotekhnika, – 800 s (2010)Google Scholar
  14. 14.
    Navstar GPS Space Segment/Navigation User Segment Interfaces, IS-GPS-200.
  15. 15.
    Van Trees, H.L.: Detection, Estimation, and Modulation Theory. Wiley, Hoboken (2004)zbMATHGoogle Scholar
  16. 16.
    Balanis, C.: Antenna Theory: Analysis and Design. Wiley, Hoboken (2016)Google Scholar
  17. 17.
    Langley, Richard B.: Dilution of precision. GPS World 10(5), 52–59 (1999)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.St. Petersburg Polytechnic UniversitySt. PetersburgRussia

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