基于随机空间网络的无人机集群协同对抗模型

王尔申; 郭靖; 宏晨; 任虹帆; 陈艾东; 商新娜

doi:10.13700/j.bh.1001-5965.2021.0206

基于随机空间网络的无人机集群协同对抗模型

doi: 10.13700/j.bh.1001-5965.2021.0206

王尔申^{1, 2},
郭靖¹,
宏晨^{3, 4, ,},
任虹帆¹,
陈艾东^{3, 4},
商新娜^{3, 4}

1.
沈阳航空航天大学电子信息工程学院，沈阳 110136
2.
沈阳航空航天大学辽宁通用航空研究院，沈阳 110136
3.
北京联合大学北京市信息服务工程重点实验室，北京 100101
4.
北京联合大学机器人学院，北京 100101

基金项目: 国家重点研发计划(2018AAA0100804)；中国民航大学民航航班广域监视与安全管控技术重点实验室开放基金(202105)；辽宁省“兴辽英才计划”(XLYC1907022)；北京市教育委员会科技计划(KM201811417005,KM201911417010)；辽宁省应用基础研究计划(2022020502-JH2/1013)；沈阳市科技计划(22-322-3-34)

详细信息

通讯作者:
E-mail：hchchina@sina.com

中图分类号: V279⁺.2；TN711.5；TP391.9
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- 被引次数: 0
出版历程
- 收稿日期: 2021-04-21
- 录用日期: 2021-06-04
- 网络出版日期: 2021-09-01
- 整期出版日期: 2023-01-30

Cooperative confrontation model of UAV swarm with random spatial networks

WANG Ershen^{1, 2},
GUO Jing¹,
HONG Chen^{3, 4
, ,},
REN Hongfan¹,
CHEN Aidong^{3, 4},
SHANG Xinna^{3, 4}

1.
School of Electronic and Information Engineering，Shenyang Aerospace University，Shenyang 110136， China
2.
Liaoning General Aviation Academy，Shenyang Aerospace University，Shenyang 110136，China
3.
Beijing Key Laboratory of Information Service Engineering，Beijing Union University，Beijing 100101，China
4.
College of Robotics，Beijing Union University，Beijing 100101，China

Funds: National Key R & D Program of China (2018AAA0100804); Open Fund of Key Laboratory of Civil Aviation Flights Wide Area Surveillance and Safety Control Technology of Civil Aviation University of China (202105); Liaoning Revitalization Talents Program (XLYC1907022); Beijing Education Commission Science and Technology Project (KM201811417005, KM201911417010); Applied Basic Research Programs of Liaoning Province (2022020502-JH2/1013); Shenyang Science and Technology Program (22-322-3-34)

More Information

Corresponding author: E-mail：hchchina@sina.com

摘要

摘要:
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。
- 无人机集群 /
- 协同对抗 /
- 随机空间网络 /
- 复杂网络 /
- 级联效应
Abstract:
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.
- UAV swarm /
- cooperative confrontation /
- random spatial network /
- complex network /
- cascading effects

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图 1 对抗场景示意图

Figure 1. Diagram of confrontation scenario

下载: 全尺寸图片幻灯片

图 2 网络结构

Figure 2. Network structure

下载: 全尺寸图片幻灯片

图 3 二维空间中不同红方杀伤率下网络失效大小与时间步的关系

Figure 3. Relationship between failed size and time step under different hit rates of red UAVs in 2D

下载: 全尺寸图片幻灯片

图 4 二维空间中不同蓝方容量上限下网络失效大小与时间步的关系

Figure 4. Relationship between failed size and time step under different capacity-limitation of blue UAVs in 2D

下载: 全尺寸图片幻灯片

图 5 二维与三维空间中不同红方杀伤率下网络失效大小对比

Figure 5. Comparison of failed size under different hit rates of red UAVs in 2D and 3D

下载: 全尺寸图片幻灯片

图 6 三维空间中不同红方杀伤率下网络失效大小与时间步的关系

Figure 6. Relationship between failed size and time step under different hit rates of red UAVs in 3D

下载: 全尺寸图片幻灯片

图 7 三维空间中不同蓝方容量上限下网络失效大小与时间步的关系

Figure 7. Relationship between failed size and time step under different capacity-limitation of blue UAVs in 3D

下载: 全尺寸图片幻灯片

图 8 二维与三维空间中不同蓝方容量上限下网络失效大小对比

Figure 8. Comparison of failed size under different capacity-limitation of blue UAVs in 2D and 3D

下载: 全尺寸图片幻灯片

表 1 不同红方杀伤率下的级联效果

Table 1. Cascading effects under different hit rates of red UAVs

红方杀伤率	三维场景		二维场景
红方杀伤率	被击落无人机架数	网络最终S值	被击落无人机架数	网络最终S值
0.2	8.04	0.44	9.80	0.546
0.4	14.56	0.90	20.04	0.95
0.6	21.68	0.99	30.64	1.00
0.8	29.48	1.00	39.32	1.00

下载: 导出CSV

表 2 不同蓝方容量上限下的级联效果

Table 2. Cascading effects under different capacity-limitation of blue UAVs

蓝方容量上限	三维场景		二维场景
蓝方容量上限	被击落无人机架数	网络最终S值	被击落无人机架数	网络最终S值
6	19.68	1.00	25.04	1.00
8	18.20	0.83	26.68	1.00
10	18.60	0.54	24.56	0.86
12	19.48	0.42	25.16	0.64

下载: 导出CSV

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