Signal Modulation Classification Based on the Transformer Network
Author:
Affiliation:
1. School of Electronic Engineering, Xidian University, Xi’an, China
2. School of Artificial Intelligence, Xidian University, Xi’an, China
3. Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, U.K
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Natural Science Basic Research Plan in Shaanxi Provincial of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/9881393/09779340.pdf?arnumber=9779340
Reference54 articles.
1. Extensions of recurrent neural network language model
2. Recurrent neural network based language model
3. Radio transformer networks: Attention models for learning to synchronize in wireless systems
4. Deep architectures for modulation recognition
5. Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
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