Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches

Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches

This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML (maximum likelihood-based AMCs) and those that rely on features. Numerous studies have been conducted on...

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Bibliographic Details
Main Authors: Hany S. Hussein, Mohamed Hassan Essai Ali, Mohammed Ismeil, Mohamed N. Shaaban, Mona Lotfy Mohamed, Hany A. Atallah
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Modulation classification
deep learning
convolutional neural network
wireless signal
Online Access:https://ieeexplore.ieee.org/document/10244007/

Internet

https://ieeexplore.ieee.org/document/10244007/

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