Research On Deceptive Anti-jamming Methods In UAV Networks

With the development of communication technologies and computer technologies,the fundamental problems of unmanned aerial vehicles(UAV)have been solved,and the UAV industry starts to grow rapidly.As artificial intelligence becomes the focus of researchers,the intelligentization of UAV groups also attracts wide attention.In order to guarantee the performance of intelligent UAV groups,a reliable UAV communication network needs to be established.However,many events that UAV networks are attacked by jammers occurred in recent years.Until now,many anti-jamming methods have been proposed by adjusting the transmission strategy of transmitters.In other words,only transmitters attend to the fight with jammers.In this paper,deceptive anti-jamming methods are proposed,in which unoccupied UAVs pretend to be transmitters to attract the jamming power and then the actual transmitter-receiver pairs can achieve better channel qualities.Both the simple communication scenario where only one transmitter-receiver pair exists and the generalized communication scenario where multiple transmitter-receiver pairs exist are considered in this paper.The deceptive anti-jamming method in the simple communication scenario is first investigated.The deceptive anti-jamming problem is modeled as a Stackelberg game,in which the complete information is known for both the jammer and the deceiver.The optimal deceptive strategy is derived by analyzing the relationship of the jammer and the deceiver.Then,the simple communication scenario where the deceiver knows incomplete information is investigated.A golden section based iterative algorithm is designed to obtain the sub-optimal deceptive strategy.Simulation results show that the deceptive anti-jamming method achieves the excellent performance in the simple communication scenario.Furthermore,the deceptive anti-jamming method is extended in the generalized communication scenario.Due to the complex model of the generalized communication scenario,it is difficult to obtain the closed-form deceptive anti-jamming strategy.After obtaining the constraint of the strategy by preliminary analysis,a simulated annealing based iterative algorithm is proposed to obtain the deceptive strategy.Then,the generalized communication scenario where the deceiver knows incomplete information is investigated.A deceptive anti-jamming algorithm is also designed by considering both the performance and the convergence rate.Simulation results show that the two algorithms above achieve the good convergence performance,and the deceptive anti-jamming method also performs well in the generalized communication scenario.