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http://dx.doi.org/10.5302/J.ICROS.2015.14.0091

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

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)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.21, no.3, 2015 , pp. 283-289 More about this Journal
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.
Keywords
GNSS; spoofing; spoofing detection; adaptive fading Kalman filter;
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Times Cited By KSCI : 1  (Citation Analysis)
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