基于博弈论的预警卫星系统抗毁性研究

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Title:

Research on the invulnerability of an early warning satellite system based on game theory

作者:

齐小刚¹, 陈春绮¹, 熊伟², 刘立芳³

1. 西安电子科技大学 数学与统计学院，陕西 西安 710071;
2. 航天工程大学 复杂电子系统仿真技术国防科技重点实验室，北京 101416;
3. 西安电子科技大学 计算机学院，陕西 西安 710071

Author(s):

QI Xiaogang¹, CHEN Chunqi¹, XIONG Wei², LIU Lifang³

1. School of Mathematics and Statistics, Xidian University, Xi’an 710071, China;
2. Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing 101416, China;
3. School of Computer Science and Technology, Xidian University, Xi’an 710071, China

关键词:

预警卫星; 攻防博弈论; 博弈模型; 系统抗毁性; 防御者抗毁性; 攻击者抗毁性; 攻击策略; 防御策略

Keywords:

early warning satellite; attack and defense game theory; game model; system invulnerability; defender invulnerability; attacker invulnerability; attack strategy; defensive strategy

分类号:

TP39;TJ861

DOI:

10.11992/tis.202002017

摘要:

预警卫星系统在弹道导弹预警方面发挥着重要的作用，一旦受到攻击，将造成重大损失。针对这一实际情况，利用博弈论知识，将预警卫星系统的攻防过程构建为静态博弈模型。提出攻防状态下刻画系统抗毁性的方法，将其分为防御者抗毁性和攻击者抗毁性，在完全信息和不完全信息情况下，分析双方应采取的策略，用仿真得到的容量数据刻画节点受攻击后的失效概率，提出基于仿真数据的攻防策略。并根据仿真数据分析提出不完全信息下模型的优化方向。

Abstract:

Satellite systems play an important role in the early warning of ballistic missile attacks, which may cause heavy losses. In view of this actual situation, using the knowledge of game theory, the attack and defense processes of the early warning satellite system are constructed as a static game model. A method is proposed to characterize the invulnerability of the system in the attack and defense states, and then it is divided into defender invulnerability and attacker indestructibility. In the case of complete information and incomplete information, the strategies that both sides should adopt are analyzed. The capacity data obtained from simulations is used to characterize the failure probability of the node under attack, and the attack and defense strategies are proposed based on the simulation data. The optimization direction of the model under incomplete information is proposed according to the analysis of simulation data.