Research on decision-making modeling of cognitive jamming for multi-functional radar based on Markov

被引：0
|
作者：
Zhu B. [1 ,2 ]
Zhu W. [2 ]
Li W. [3 ]
Yang Y. [3 ]
Gao T. [3 ]
机构：
[1] Department of Electronic and Optical Engineering, Space Engineering University, Beijing
[2] State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang
[3] Graduate School, Space Engineering University, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 08期
关键词：
Markov decision process; Q-learning; radar confrontation; radar state; reinforcement learning;
D O I：
10.12305/j.issn.1001-506X.2022.08.13
中图分类号：
学科分类号：
摘要：
Multi-functional radar is an indispensable and important equipment in modern electromagnetic battlefield. The interference of multi-functional radar is always a difficult problem. In this paper, based on the study of the characteristics of multi-functional radar signal and the radar countermeasure process, the method of joint representation of radar state is proposed, and the interference problem of multi-functional radar is modeled as a Markov decision process with benefits. The cognitive interference decision system is designed. The interference strategy is solved by the cognitive interference decision algorithm based on Q-learning. Through the simulation experiment, it is proved that the cognitive interference decision algorithm based on Q-learning can learn the optimal interference strategy in the absence of prior experience, have the characteristic of "cognition", and have strong adaptability in the unstable environment, which effectively supports the interference decision model mentioned above. © 2022 Chinese Institute of Electronics. All rights reserved.
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页码：2488 / 2497
页数：9
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