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

  • 제21권3호
  • /
  • Pages.283-289
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  • 2015
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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적응 페이딩 칼만 필터를 이용한 기준국 기반의 램프 형태 GNSS 기만신호 검출 알고리즘

Station Based Detection Algorithm using an Adaptive Fading Kalman Filter for Ramp Type GNSS Spoofing

  • 김선영 (서울대학교 기계항공공학부/ASRI) ;
  • 강창호 (서울대학교 기계항공공학부/ASRI) ;
  • 박찬국 (서울대학교 기계항공공학부/ASRI)
  • 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)
  • 투고 : 2014.09.01
  • 심사 : 2014.12.23
  • 발행 : 2015.03.01
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초록

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.

키워드

참고문헌

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피인용 문헌

  1. Indoor Localization Using Unscented Kalman/FIR Hybrid Filter vol.21, pp.11, 2015, https://doi.org/10.5302/J.ICROS.2015.15.0149