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Research On Launch Interference Technology Based On UAV Platform

Posted on:2020-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:L J WangFull Text:PDF
GTID:2392330575461939Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of Unmanned Aerial Vehicle(UAV)technology,the combat mode of UAV has gradually shifted from single-platform to multi-platform operation adapting to complex battlefield environment,i.e.the mode of operation has gradually developed to “swarm”.Single UAV performance of a single,limited ability to perform tasks,and difficult to complete multiple tasks,while the drone of bees by the way,can dominate simultaneous multi-UAV cooperative complex tasks,to complex battlefield Better completion of the specified tasks in the environment.On this basis,UAV swarm carried jamming aircraft can conduct large-scale cooperative jamming on radar.UAV swarm,with low launch power,can be deployed in the enemy depth and thus obtain the advantages of distance and spatial distribution.This thesis focuses on the formation of effective cooperative jamming beams for UAV swarm,the main contents of the paper are as follows:Firstly,for the problem that the effective interference energy of a single UAV is low,the interference device carried by the drone is regarded as an antenna array element that emits electromagnetic energy,the array antenna model is introduced to give the basic theory of the antenna array.and the pattern functions of three common arrays are deduced.Through the simulation experiment and the actual situation,the interference effect of the uniform array is given.It is proved that the UAV swarm with uniform array is difficult to concentrate the interference energy because the UAV spacing is too large.And from the perspective of the radar detection area,the advantages of the coordinated interference of the bee colony are given through simulation experiments.Secondly,this thesis researches the layout scheme of UAV swarm cooperative interference combined with the actual situation of UAV swarm,and presents the optimization model,and selects different intelligent optimization algorithms to optimize the position of UAV swarm along with different array optimization models.The Invasive Weed Optimization(IWO)algorithm of single ring array has achieved better simulation results with its drawbacks improved,and the Bat algorithm(BA)achieves a good simulation effect.The simulation experiments are conducted to solve the problems of position offset,main lobe width and time delay which may occur in the actual interference process,and the correction experiments are analyzed by the optimization algorithm.Thirdly,considering that a single UAV carries multi-array elements,the minimum number of antennas carried by a single UAV is studied,and the matrix beam method is introduced to simulate the experiment.The minimum number of elements optimized by MPM is mounted on the same UAV,and the position of UAV is simulated and analyzed with intelligent optimization algorithm.The simulation experiment proves that this method is better than the cluster interference effect of single unmanned single interference equipment.Finally,the related problems of swarm distributed interference are studied.The swarm distribution mode is simulated combined with the distributed optimization model,and the optimal distribution mode is obtained.With the specific radar signal,this thesis introduces the jamming principles of deceptive jamming and suppressive jamming,and conducts the jamming experiments to present the different jamming effects of different jamming signals on radar.
Keywords/Search Tags:Sparse array synthesis, Invasive weed optimization, Bat algorithm, matrix pencil method, radar interference
PDF Full Text Request
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