Session A4b: Aviation, Aeronautics, and Uncrewed Aerial Applications 2

GNSS Spoofing Detection Using Cumulative Vector Sums
Liam Carey and Mathieu Joerger, Virginia Tech
Location: Holiday 6 (Second Floor)
Date/Time: Thursday, Sep. 11, 2:58 p.m.

Best Presentation

This paper describes the development and evaluation of new methods to detect spoofed GNSS signals in Kalman filter-based navigation applications. There are two primary contributions, first, we show that spoofed measurements under a meaconer and a targeted spoofer have a known, specific structure which can be leveraged for detectability. Second, we evaluate three innovations-based monitors, including the cumulative vector sums monitor which is derived from cumulative sum methods that are known to be effective at detecting subtle changes in the mean of a random process. Background is provided on the measurement model derivation, projected innovations method to leverage a known fault structure, innovations monitoring, and the cumulative vector sum monitor. Then, Monte-Carlo analysis is performed to analyze the monitors which shows the improved performance of projected innovations and also provides a case where the CVS monitor outperformed other monitors in probability of detection.