A hybrid model for automatic modulation classification based on residual neural networks and long short term memory

A hybrid model for automatic modulation classification based on residual neural networks and long short term memory

This paper introduces a deep learning (DL)-based Automatic Modulation Classification (AMC) model. Our model is considered to be a receiver with a modulation classifier that is capable of differentiating ten modulation techniques. The classifier combines the residual neural network (ResNet) and the l...

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Bibliographic Details
Main Authors: Mohamed M. Elsagheer, Safwat M. Ramzy
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Alexandria Engineering Journal
Subjects:
Deep learning
AMC
Residual neural network
LSTM
SNR
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016822005488

Internet

http://www.sciencedirect.com/science/article/pii/S1110016822005488

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