A Covert Spoofing Method for Integrated Navigation Unmanned Aerial Vehicle

Unmanned aerial vehicles (UAVs) are widely employed in both military and civilian domains, making spoofing technology a key component for achieving various operational objectives. This paper presents a covert UAV spoofing technique that utilizes the model predictive control algorithm to accurately manipulate non-cooperative UAVs, enhance the covertness of spoofing signals, and reduce the accumulation of control errors. Simulation verification indicates that this method significantly improves spoofing accuracy, offering strategic and tactical advantages for the covert spoofing of non-cooperative UAVs.