Transfer Learning for Automatic Modulation Recognition Using a Few Modulated Signal Samples
Author:
Affiliation:
1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China
2. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
Funder
National Natural Science Foundation of China
Young Elite Scientists Sponsorship Program by the China Association for Science and Technology
Shanghai Academy of Spaceflight Technology
NSF
U.S. Department of Transportation
Toyota Motor Corporation
Amazon Catalyst
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
https://ieeexplore.ieee.org/ielam/25/10254672/10102600-aam.pdf
Reference22 articles.
1. Radio frequency machine learning systems (RFMLS),2018
2. A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
3. Spectrum Awareness at the Edge: Modulation Classification using Smartphones
4. Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
5. Convolutional Radio Modulation Recognition Networks
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