Spatial-Temporal Hybrid Feature Extraction Network for Few-Shot Automatic Modulation Classification
Author:
Affiliation:
1. Ministry Key Laboratory of Electronic Information Countermeasure and Simulation, Xidian University, Xi'an, China
2. National Lab of Radar Signal Processing, Xidian University, Xi'an, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9990993/09849107.pdf?arnumber=9849107
Reference24 articles.
1. An Introduction to Deep Learning for the Physical Layer
2. Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information
3. SigNet: A Novel Deep Learning Framework for Radio Signal Classification
4. Sparsely Connected CNN for Efficient Automatic Modulation Recognition
5. SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition
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