Online Frequency-Agile Strategy for Radar Detection Based on Constrained Combinatorial Non-Stationary Bandit

Author:

Fang Yuyuan1ORCID,Zhang Lei1ORCID,Wei Shaopeng2ORCID,Wang Tao3,Wu Jianxin1ORCID

Affiliation:

1. School of Electronics and Communication Engineering, SUN YAT-SEN University, Shenzhen, China

2. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

3. School of Intelligent Engineering Systems, Sun Yet-sen University, Guangzhou, China

Funder

Shenzhen Science and Technology Program

Aeronautical Science Foundation of China

National Nature Science Foundation of Guangdong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Cited by 5 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. Radar Anti-Jamming Strategy Learning via Domain-Knowledge Enhanced Online Convex Optimization;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

2. Online Emission Policy Selection for Radar Antijamming Using Bandit-Optimized Policy Search;IEEE Transactions on Aerospace and Electronic Systems;2024-06

3. A Cognitive Multi-Carrier Radar for Communication Interference Avoidance via Deep Reinforcement Learning;IEEE Transactions on Cognitive Communications and Networking;2023-12

4. Anti-jamming Equilibrium Strategy Learning of Frequency Agile Radar based on Monte Carlo Tree Search;2023 IEEE International Radar Conference (RADAR);2023-11-06

5. Online Learning Approach for Jammer Detection in UAV Swarms Using Multi-Armed Bandits;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23

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