Research On GPS Spoofing Detection Of Quadrotor UAV Based On Stable Environment

Today,with the rapid development of aircraft,the emergence of unmanned aerial vehicles has become a revolutionary milestone in the aviation field.It has been widely used in many military and civilian fields such as topographic mapping,aerial photography,express delivery,disaster relief,military investigation,and agricultural plant monitoring..The application of micro-UAVs greatly reduces the intensity of human work and reduces the consumption of various resources,especially in the dangerous tasks such as military detection or attack,which has the advantages of good mobility and strong concealment.However,in the face of the improvement of anti-reconnaissance means and the complexity of the task environment,micro-UAVs also expose certain shortcomings in practical applications,mainly reflected in the ability of GPS itself to detect fraud.In actual use,GPS often receives artificially given spoofing signals to direct the drone to an unset location.Therefore,GPS spoofing needs to be highly valued as the primary threat to location security during flight.It can improve the security and accuracy of positioning information in the operation of the drone by improving the aircraft's ability to detect GPS spoofing.In addition,compared with manned aircraft,the size and load-bearing capacity of the micro-UAV are relatively small.In the atmospheric environment,the wing load is small,there is almost no inertia,and it is easily affected by the wind field.At the same time,there is also interference from the wind field in the complex flight environment,which will further affect the specified flight trajectory and precise positioning of the drone,and will also affect the correctness of the GPS deception judgment of the drone itself.Therefore,the accuracy of the traditional detection GPS deception method for the detection results of the micro drone will be significantly reduced,and even the case of misjudgment or missed judgment occurs.In order to study and solve the above two problems,this paper based on a miniature UAV model,explores a method that can detect GPS deception by itself in an unknown wind field environment.The feasibility of the method was studied.Finally,the simulation was carried out by simulation experiments.The general idea is: the establishment of the model for a certain type of drone,the model contains the state parameters,motion parameters of the drone.In the process of simulation verification,the micro drone can display the motion state and output related parameters of the micro drone in real time according to the movement of the specified trajectory.At the same time,a real-time wind field estimation method is proposed,and wind field interference is added to the model.Verify the effectiveness of the wind field estimation method by comparing wind field estimates with real values.In addition,since the traditional GPS spoofing detection method is only applicable to large aircraft,the GPS spoofing detection effect will be significantly deteriorated for the micro-UAV that is susceptible to the wind field.In this paper,considering the wind field that has been inferred,a GPS spoofing detection method based on Kalman filter theory and inertial navigation parameters is proposed.At the same time,the experimental verification is completed by the UAV model,and the tradition is passed.The comparison of the detection effects of the method illustrates the advantages of the GPS spoofing detection method.Through the above theoretical analysis and simulation experiments,the results show that the research method of anti-GPS deception of quadrotor UAV based on stable environment proposed in this paper is feasible and has certain engineering application value.