Multiple Statistical Tests for Spoofing Detection and Rejection using Tightly-Coupled GNSS/INS

The detection and rejection of individual spoofed Global Navigation Satellite System (GNSS) measurements is of great interest given the rise in GNSS interference observed around the globe. This work describes strategies for real-time mitigation of GNSS spoofing attacks using integrated Inertial Navigation System (INS) measurements to aid navigation. We propose a method that combines the chi-squared statistical test to identify potentially invalid GNSS signals with the Student’s T-test to identify and remove individual spoofed signals. This method is developed assuming a Tightly-Coupled Extended Kalman Filter for both navigation and solving for clock and INS biases. Simulations of an aircraft experiencing various types of spoofed GNSS signals demonstrate the effectiveness of the proposed method.