通信学报2026，Vol.47Issue(2)：94-108,15.DOI:10.11959/j.issn.1000-436x.2026001
复杂电磁环境下基于HRDQN的智能干扰决策算法
Intelligent jamming decision-making algorithm based on HRDQN in complex electromagnetic environments
摘要
Abstract
To address the issues of slow convergence speed and poor energy efficiency of existing intelligent jamming decision-making in communication countermeasures scenarios,a hierarchical Rainbow deep Q-network(HRDQN)algo-rithm was proposed.Firstly,a communication system model subject to non-cooperative intelligent jamming was formu-lated,and the jamming decision-making process was modeled as a Markov decision process(MDP),deriving the sup-pression coefficient threshold to quantify jamming effectiveness.Secondly,the action space and decision-making method of the agent were designed to improve decision-making efficiency based on a hierarchical structure.Finally,the reward function was designed to combine the suppression coefficient threshold with the estimated jamming-to-signal ratio(JSR)to guarantee stable convergence of the algorithm.Simulation results demonstrate that the proposed algorithm rapidly gen-erates ideal jamming decisions while reducing power consumption,and outperforms traditional algorithms in conver-gence speed,thereby corroborating the merits of the proposed algorithm.关键词
通信对抗/智能干扰决策/马尔可夫决策过程/分层Rainbow-DQN算法/能量效率Key words
communication countermeasure/intelligent jamming decision-making/Markov decision process/hierarchical Rainbow-DQN algorithm/energy efficiency分类
信息技术与安全科学引用本文复制引用
刘天一,吴宣利,许涛,王吉彬,李广华..复杂电磁环境下基于HRDQN的智能干扰决策算法[J].通信学报,2026,47(2):94-108,15.基金项目
国家自然科学基金资助项目(No.U23A20278) The National Natural Science Foundation of China(No.U23A20278) （No.U23A20278）
