基于随机空间网络的无人机集群协同对抗模型

无人机集群协同对抗是未来作战的发展方向，为了突出集群强进攻、难防御、高灵活的优势，对高维度、强动态、非线性无人机集群的协同对抗的复杂系统进行有效建模是一个重要的研究方向。应用复杂空间网络理论构建了对抗双方的协同网络、对抗网络及协同对抗网络，模拟无人机集群的协同侦察场景，分别在二维和三维空间中建立了无人机集群协同对抗模型；分析了影响杀伤率的因素，提出了杀伤率与空间距离的解析式；通过网络级联效应分析了无人机集群协同网络的鲁棒性，验证了所提无人机集群协同对抗模型的有效性，为无人机集群协同对抗的建模提供了一种新思路。

Cooperative confrontation model of UAV swarm with random spatial networks

UAV swarm cooperative confrontation is a development direction for future war. In order to highlight the advantages of the swarm such as strong attack, difficult defense and high flexibility, it is an important research direction to effectively model the complex system of high-dimensional, strong dynamic and nonlinear UAV cluster cooperative confrontation. In this paper, we apply the complex spatial network theory to construct a cooperative confrontation network, a cooperative network and a confrontation network between two UAV swarms. Meanwhile, we establish a UAV swarm cooperative confrontation model in 2D and 3D based on the cooperative reconnaissance scene of UAV swarm. Then, we analyze the impact of the spatial distance between opponent UAVs on the hit rate, and put forward the formula of hit rate with spatial distance. We analyze the robustness of the cooperative network of UAV swarm through cascading effects and verify the effectiveness and practicality of the UAV swarm cooperative confrontation model. Our work will provide new insight for the modeling of UAV swarm cooperative confrontation.