WIR-Transformer: Using Transformers for Wireless Interference Recognition
Author:
Affiliation:
1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Sichuan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9976385/09826820.pdf?arnumber=9826820
Reference14 articles.
1. JRNet: Jamming Recognition Networks for Radar Compound Suppression Jamming Signals
2. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020
3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
4. Bring Globality into Convolutional Neural Networks for Wireless Interference Classification
5. A Unified Cognitive Learning Framework for Adapting to Dynamic Environments and Tasks
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