Counter “Low,Slow And Small” UAV Swarm Operation Chain Modeling And Deployment Optimization

Unmanned Aerial Vehicle(UAV)swarm,a new type of intelligent weapon system,will make profound changes in the future combat style and bring great challenges to the traditional air defense.Therefore,how to neutralize and deal with this new threat has become an urgent problem in the field of National Defense Strategy and Air Defense Tactics.In this paper,we conduct studies of the issue of the whole chain of anti-UAV swarm operations in the context of Air Defense of key areas,including counter UAV swarm operation chain model and deployment optimization.The thesis on providing theoretical and technical supports for solving the problem of anti-UAV swarm and the main contributions of this thesis are as follows:(1)In the theory of anti-UAV swarm operation,in order to guide the direction of anti-UAV swarm operation,we qualitatively analyze the disadvantages of the UAV swarm according to technology and tactics separately.And we adopt the SWOT method to conduct a deep analysis of the weakness,threats,advantages and possibilities of the anti-UAV swarm in air defenses of the key area.Finally,to determine the type of countermeasures,we propose a classification principle and method from the perspective of anti-UAV swarm operations,and quantitatively analyze the difficulty of three types of UAV swarm countermeasures,according to the characteristics of anti-UAV swarm operations.(2)In the model of anti-UAV swarm operation chain,based on the requirements of the anti-UAV swarm operation,we propose a system solution for all-element anti-UAV swarm,and preliminarily design a comprehensive countermeasure system integrating "Fusion detection,Integrated command and control,Multiple disposals,and Horizontal connectivity ",secondly,it sorts out 7 categories of effective anti-UAV swarm technologies,analyzes their feasibility,and designs three types of drone swarm countermeasure systems.Architecture,and we demonstrate the framework by adopting the Do DAF(Department of Defense Architecture Framework)architecture framework to simulate the essential factors,including anti-UAV swarm operation process,anti-UAV swarm operation activities,command relations(command flow),information exchange(information flow),status contents and support methods.(3)In terms of deployment effectiveness evaluation,to fix the problem that it is difficult to evaluate the deployment effectiveness by model,we adopt the method of "large-scale offline simulation + optimization algorithm" to solve the countermeasures weapon system deployment issues.And we propose a framework for weapon deployment effectiveness evaluation for anti-UAV swarm operation,which can satisfy the military requirements of evaluation of anti-UAV swarm operation.(4)In the optimization of anti-UAV swarm weapon system deployment,we propose a mixed Genetic Algorithm and Monte Carlo algorithm(hereinafter “GA-MCA”)based on simulation.To solve the deployment optimization problem of anti-UAV swarm weapon system,we introduce the GA-MCA algorithm and Monte Carlo method by the fitness calculation link to simulate the process of anti-UAV swarm operation.The simulation results show that our algorithm can effectively deal with the deployment optimization problem of the anti-UAV swarm weapon system.In the low-altitude detection system deployment optimization,compared with the traditional mathematical model-driven method,our methods increased by about 38.2% on average,reflecting the superiority of the GA-MCA algorithm.