Research On Trajectory Spoofing Based On GNSS

In recent years,whether in modern military or civil fields,the satellite navigation system used by UAV(Unmanned Aerial Vehicles mostly adopts the combined form of GPS(Global Position System)and INS(Inertial Navigation System),which has a high utilization rate in the GNSS(Global Navigation Satellite System)and has good selfguidance and anti-interference.At present,the deception jamming of this kind of UAV is becoming a hot research topic.In this paper,under the condition that the target UAV has started to track the spoofing signal by default,the research on the trajectory spoofing technology of the target UAV is carried out,which mainly consists of three parts,including the trajectory prediction of the target UAV,the spoofing trajectory planning of the jammer and the trajectory deceiving of the target UAV.In the link of target UAV trajectory prediction,according to the overall demand of trajectory deception,combined with PKF(Polynomial Kalman Filter)and MGM(Multi-variable Grey Model),the MGM＿PKF hybrid equal dimension is proposed Metabolic dynamic trajectory prediction algorithm,which converts the realtime detection information of the radar on the target UAV into the preset trajectory information of the target UAV,which is used as the prediction data set of the trajectory prediction algorithm in this paper.In this way,real-time prediction of the subsequent preset trajectory of the target UAV is realized,and the dynamic and timeliness of trajectory prediction is enhanced under the premise of meeting a certain prediction accuracy.In the link of jammer deception trajectory planning,an adaptive GA＿ACO dynamic deception trajectory planning algorithm is proposed by combining GA(Genetic Algorithms)and ACO(Ant Colony Optimization).According to the UAV performance constraints,trajectory constraints,and threat constraints,the trajectory evaluation function is designed to plan the optimal deception trajectory from the deception starting point to the capture and destruction of the central area.It not only guarantees the convergence speed and accuracy of the algorithm,but also avoids the occurrence of local optimal situations.The simulation compares the planning efficiency of three commonly used algorithms.This algorithm has obvious improvements in planning time and comprehensive cost,and satisfies the deception trajectory planning requirements in the overall trajectory deception process.In the target UAV trajectory deception link,according to the principle of trajectory deception,a GPS/INS-based UAV progressive trajectory deception algorithm is proposed,which uses UAV trajectory prediction data,jammer trajectory planning data and radar trajectory detection data to change the satellite pseudo-code phase and doppler frequency in the navigation signal make the target UAV gradually deviate from its own preset trajectory from the starting point of the deception,travel along the deception trajectory of the jammer,and finally reach the designated capture and destruction area.In the process,the spoofing signal satisfies the corresponding concealment requirements.Through simulation verification,the target drone gradually adjusted its trajectory after tracking the deception signal,but it was not recognized as being deceived.Finally,the influence of radar detection accuracy,radar detection refresh time and trajectory prediction accuracy on the overall trajectory deception effect was discussed.Finally,in accordance with the overall requirements of UAV trajectory deception,this paper proposes an effective trajectory deception algorithm to achieve the purpose of UAV trajectory deception.