Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated when a spoofer tracks and estimates the aircraft position. To create the worst case spoofing conditions, we analytically derive a Kalman filter-based worst-case sequence of spoofed GNSS measurements. Utilizing this worst-case spoofing attack scenario during a Boeing 747 (B747) final approach, we prove that unless the spoofer's position-tracking devices have unrealistic accuracy and no-delay, the proposed INS monitor performance is highly effective in detecting spoofing attacks.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Instrumentation

Cite this

Tanil, C., Khanafseh, S., Joerger, M., & Pervan, B. (2016). Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. In Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016 (pp. 1027-1034). [7479805] (Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PLANS.2016.7479805