Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy

Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy

For the deep reinforcement learning (DRL)-empowered intelligent jamming, an anti-jamming strategy aided by sample information entropy was proposed. Firstly, the anti-jamming strategy network and entropy prediction network were designed based on neural networks. Then, the anti-jamming strategy networ...

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Bibliographic Details
Main Authors: LI Gang, WU Qi, WANG Xiang, LUO Hao, LI Lianghong, JING Xiaorong, CHEN Qianbin
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-09-01
Series:Tongxin xuebao
Subjects:
anti-jamming
deep reinforcement learning
sample information entropy
intelligent jamming
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024161/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024161/

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