摘要
The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. To improve the anti-jamming capacity of radar system, a game theory-based optimization method is proposed to enhance the decision-making of anti-jamming strategy in this paper. First, a temporal sequence interaction based dynamic game model between radar and jammer is constructed. Then, Q-learning is performed to optimize the radar anti-jamming strategies. The simulation experimental results show that the proposed method can significantly improve the radar winning probability in the confrontation.
源语言 | 英语 |
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页(从-至) | 1 |
页数 | 1 |
期刊 | IEEE Access |
DOI | |
出版状态 | 已接受/待刊 - 2022 |