Optimal Jamming Frequency Selection for Cognitive Jammer based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Optimal Jamming Frequency Selection for Cognitive Jammer based on Reinforcement Learning

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Electronics Technology (ICET)
language:
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Author:

Xia Liqun¹,Wang Lulu²,Jia Gaowei³,Xie Zhidong²

Affiliation:

1. National Innovation Institute of Defense Technology Academy of Military Science,Beijing,China

2. PLA. 32806 Academy of Military Science,Beijing,China

3. National University of Defense Technology,College of Aerospace Science and Engineering,Changsha,China

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210847/10211258/10211362.pdf?arnumber=10211362

Reference17 articles.

1. Jamming Bandits—A Novel Learning Method for Optimal Jamming

2. Radar and Jammer Intelligent Game under Jamming Power Dynamic Allocation

3. Intelligent interference strategy generation based on reinforcement learning;zhang;Msster Thesis University of Electronic Science and Technology of China,2021

4. Optimal Jamming using Delayed Learning

5. Adaptation of Frequency Hopping Interval for Radar Anti-Jamming Based on Reinforcement Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiagent Reinforcement Learning for Antijamming Game of Frequency-Agile Radar;IEEE Geoscience and Remote Sensing Letters;2024

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