Detection Method About GNSS Deception Jamming Signal Based on Optical Flow Computation Assistance

With the increasing dependence of civil infrastructure on the satellite navigation system such as positioning, speed measurement and time service in recent years, the threat of navigation deception jamming becomes more and more serious. So the effective detection on navigation deception signal has become a recent research hotspot. Although various deception detection methods have been proposed continuously, due to the limitation of various boundary conditions, there are few practical applications in engineering. In this paper, the image sensors such as cameras, which are widely used on UAV platforms, are used to process the continuous output of ground imaging data. Based on optical flow computation, the real motion speed of the platform can be obtained in real time. The navigation deception jammer can only affect the satellite navigation receiver, but it cannot control the movement mode of the platform. Therefore, the navigation receiver captured and influenced by deception jammer can be judged by contrasting the velocity of the optical flow measurement with that from the satellite navigation receiver. When the navigation deception jamming signal comes from the same direction, this direction can also be estimated by combining the measurement of reference frequency with the specific motion of the platform. Finally, the feasibility and validity of above approach are verified by simulations. Moreover, the existing hardware modules on the platform can be made use of, and signal processing software only needs to be added to enhance the anti-deception ability of the existing platform. So it has good engineering application values.