Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Station Based Detection Algorithm using an Adaptive Fading Kalman Filter for Ramp Type GNSS Spoofing

적응 페이딩 칼만 필터를 이용한 기준국 기반의 램프 형태 GNSS 기만신호 검출 알고리즘

  • Kim, Sun Young (Department of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Kang, Chang Ho (Department of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Park, Chan Gook (Department of Mechanical and Aerospace Engineering, Seoul National University)
  • 김선영 (서울대학교 기계항공공학부/ASRI) ;
  • 강창호 (서울대학교 기계항공공학부/ASRI) ;
  • 박찬국 (서울대학교 기계항공공학부/ASRI)
  • Received : 2014.09.01
  • Accepted : 2014.12.23
  • Published : 2015.03.01
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Abstract

In this paper, a GNSS interference detection algorithm based on an adaptive fading Kalman filter is proposed to detect a spoofing signal which is one of the threatening GNSS intentional interferences. To detect and mitigate the spoofing signal, the fading factor of the filter is used as a detection parameter. For simulation, the effect of the spoofing signal is modeled by the ramp type bias error of the pseudorange to emulate a smart spoofer and the change of the fading factor value according to ramp type bias error is quantitatively analyzed. In addition, the detection threshold is established to detect the spoofing signal by analyzing the change of the error covariance and the effect of spoofing is mitigated by controlling the Kalman gain of the filter. To verify the performance analysis of the proposed algorithm, various simulations are implemented. Through the results of simulations, we confirmed that the proposed algorithm works well.

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References

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