Automatic Modulation Classification: A Deep Architecture Survey

Automatic Modulation Classification: A Deep Architecture Survey

Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication systems, is a fundamental signal processing technique in the physical layer to improve the spectrum utilization efficiency. Motivated by deep...

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Bibliographic Details
Main Authors: Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Thanh Thi Nguyen, Rukhsana Ruby, Ming Zeng, Dong-Seong Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic modulation classification
convolutional neural networks
deep learning architectures
deep neural networks
recurrent neural networks
wireless communications
Online Access:https://ieeexplore.ieee.org/document/9576081/

Internet

https://ieeexplore.ieee.org/document/9576081/

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