Rapid jamming recognition based on Q-learning sampling under resource constraints
Author:
Affiliation:
1. Nanjing University of Information Science and Technology,School of Electronics and Information Engineering,Nanjing,China
2. the Sixty-third Research Institute National University of Defense Technology,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624688/10625665/10625699.pdf?arnumber=10625699
Reference13 articles.
1. A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends
2. Multi-node Cooperative Jamming Recognition Method Based on Deep Convolutional Neural Network;Shen;Radio Communications Technology,2022
3. Time-frequency Analysis and Convolutional Neural Network Based Fuze Jamming Signal Recognition
4. Anti-Interference Recognition for Aerial Infrared Object Based on Convolutional Feature Inference Network
5. Interference Signal Recognition Method Based on Knowledge Graph and Softmax Regression;Chen;Journal of China Academy of Electronics and Information Technology,2021
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