空天预警研究学报2026，Vol.40Issue(4)：293-298,6.DOI:10.3969/j.issn.2097-180X.2026.04.011
基于多智能体近端策略优化的动态频率指配方法
Dynamic frequency assignment method based on multi-agent proximal policy optimization
摘要
Abstract
Aiming at the problems of poor real-time performance and limited scalability of centralized deci-sion-making in the dynamic frequency assignment of multiple equipment under complex electromagnetic environ-ments,this paper proposes a dynamic frequency assignment method(DFAM)based on multi-agent proximal poli-cy optimization(MAPPO).In this method,each piece of equipment is modeled as an independent agent,and cen-tralized training and decentralized execution framework are adopted.And then,by designing a reward function in-tegrating signal-to-interference ratio,frequency jitter,and interference coordination,the agent is guided to collab-oratively avoid co-frequency and adjacent frequency interference.Simulation results demonstrate that the DFAM achieves an assignment success rate of 98.6%,nearly doubles the convergence speed compared to centralized DQN,reduces per-round computation time by about 40%,and maintains strong robustness under interference.关键词
动态频率指配/多智能体强化学习/近端策略优化/频谱管理Key words
dynamic frequency assignment/multi-agent reinforcement learning/proximal policy optimiza-tion/spectrum management分类
信息技术与安全科学引用本文复制引用
彭姣丽..基于多智能体近端策略优化的动态频率指配方法[J].空天预警研究学报,2026,40(4):293-298,6.基金项目
2025年度衡阳市指导性计划项目(57) （57）
