Unmanned aerial vehicle anti-GPS spoofing system and method based on multisource information fusion

Abstract

The invention discloses an unmanned aerial vehicle anti-GPS spoofing system and a method based on multisource information fusion. The method comprises the following steps of: the sensor subsystem collecting the data in real time and sending the data to a Kalman filtering subsystem and a GPS spoofing attack detection subsystem; the Kalman filtering subsystem carries out the filtering processing onthe data received by the sensor by using an extended Kalman filtering method, calculating a prediction value of the state of the unmanned aerial vehicle at the kth moment of the unmanned aerial vehicle, and obtaining a prediction value of the GPS sensor signal, then sending the prediction value to a spoofing detection subsystem; the GPS spoofing attack detection subsystem comparing the received GPS signal prediction value with the actual value received by the GPS sensor, calculating the residual error between the two, and recognizing whether the residual error is abnormal or not by using a BHTalgorithm, realizing the real-time detection of the GPS spoofing attack of the unmanned aerial vehicle. The unmanned aerial vehicle has relative high anti-interference performance, and can effectively improve the safety of the unmanned aerial vehicle in performing tasks in the complex airspace when the unmanned aerial vehicle is in an interfering more complicated environment.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to an anti-GPS deception system and method for an unmanned aerial vehicle based on multi-source information fusion. Background technique [0002] As the core sensor for providing location information, GPS sensors have been widely equipped in various types of manned and unmanned equipment since their appearance. Among them, drones rely heavily on GPS sensors during flight, making their The strength of the security mechanism directly determines whether the UAV flight is safe or not. [0003] Therefore, researchers have studied and developed a large number of signal spoofing detection technologies and suppression technologies for GPS sensors. [0004] Existing signal spoofing detection technologies mainly include detection technologies based on signal features, detection technologies based on navigation data, detection technologies based on external auxiliary ...

AI Technical Summary

Problems solved by technology

However, the existing GPS signal detection technology and spoofing signal suppression technology are limited to the algorithm itself, without considering the impact of the dynamic environment on the detection accuracy and the robustness of the detection algorithm in the national airspace system, making it difficult for the above algorithm to be truly applied actual scene

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