Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network

Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network

In recent years, neural network algorithms have demonstrated tremendous potential for modulation classification. Deep learning methods typically take raw signals or convert signals into time–frequency images as inputs to convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Howev...

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Bibliographic Details
Main Authors: Dong Wang, Meiyan Lin, Xiaoxu Zhang, Yonghui Huang, Yan Zhu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
deep learning
modulation classification
graph neural network
transformer network
Online Access:https://www.mdpi.com/1424-8220/23/16/7281

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