面向电磁信息智能控制的生成对抗网络研究进展

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中图分类号： TN975 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.03.06

Research progress on generative adversarial network for electromagnetic information intelligent control

ZHANG Lan1，2，*，ZHANG Biaol，²，LIANG Tianyi'²，ZHU Huijiel1，2 （1.The36th Research Institutionof China Electronics Technology Group Corporation，Jiaxing 314033，China; 2. National Key Laboratory of Electromagnetic Space Security，Jiaxing 314033，China）

Abstract：Electromagnetic information inteligent control is a key technology for managing and utilizing the electromagnetic environment in modern warfare，with the observe-orient-decide-act（OODA）loop providing theoretical guidance for this process.Generative adversarial network（GAN）and its derivative models，with their outstanding data generation and adaptation capabilities，significantly enhance the observationand analysis ability of electromagnetic environment information，bringing new momentum to the inteligence of the OODA loop in electromagnetic spectrum warfare.This paper delves into the application of GANand their derivatives in the OODA loop of electromagnetic spectrum warfare，particularly how they enhance cognitive efficacy in key aspects such as signal detectionand identification，specific emiter identification，and strategy optimization. Additionally，it discusses thechallenges GANface in this field，such as dataqualityand model generalization capabilities，aiming topromote in-depth research and applicationof thistechnology inthe field of electromagnetic information inteligent control，thereby fostering technological innovationand development.

Keywords：electromagnetic information inteligent control；generativeadversarial network（GAN）；observeorient-decide-act （OODA） loop；signal recognition；strategy optimization

0 引言

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