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基于Dyan-Q的智能雷达组合抗干扰路径选择

师沙沙 周青松 钱佳龙 陈沁娴 李志汇

现代雷达2025,Vol.47Issue(7):73-79,7.
现代雷达2025,Vol.47Issue(7):73-79,7.DOI:10.16592/j.cnki.1004-7859.20230911002

基于Dyan-Q的智能雷达组合抗干扰路径选择

Intelligent Radar Combination Anti-jamming Decision Based on Dyna-Q

师沙沙 1周青松 1钱佳龙 1陈沁娴 1李志汇1

作者信息

  • 1. 国防科技大学 电子对抗学院,安徽 合肥 230037
  • 折叠

摘要

Abstract

In order to adapt to the complex and changeable battlefield environment,the combination of modern radar technology and artificial intelligence is often used to improve the anti-jamming decision-making efficiency of intelligent radar.At present,the anti-interference decision-making algorithm based on reinforcement learning has not carried out in-depth research on the path selection process in the combined anti-interference matrix.Based on this,the paper proposes a method of intelligent pathfinding in the anti-jamming matrix combining the radar system and anti-jamming style when the radar is interfered with.First,Firstly,the anti-inter-ference matrix model is established through the performance evaluation analysis.Secondly,the internal path selection process of anti-interference matrix is analyzed based on the reinforcement learning principle.Finally,the experimental process is simulated,and the influence of Q-learning algorithm and Dyna-Q algorithm on the pathfinding effect is compared,which shows that the pro-posed algorithm can complete the path selection in less time for interaction training with external interference,and find the best an-ti-interference method in the combined matrix,which can quickly and effectively deal with the external complex interference envi-ronment.

关键词

智能雷达/强化学习/抗干扰矩阵/智能寻路/Q-learning算法/Dyna-Q算法

Key words

Intelligent radar/reinforcement learning/anti-jamming matrix/intelligent pathfinding/Q-learning/Dyna-Q

分类

信息技术与安全科学

引用本文复制引用

师沙沙,周青松,钱佳龙,陈沁娴,李志汇..基于Dyan-Q的智能雷达组合抗干扰路径选择[J].现代雷达,2025,47(7):73-79,7.

基金项目

国家自然科学基金资助项目(62301581) (62301581)

安徽省自然科技基金资助项目(2108085QF257) (2108085QF257)

现代雷达

OA北大核心

1004-7859

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