Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification

Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification

Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR). Recently, deep learning-based methods such as convolutional neural networks have been applied to AMC, showing h...

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Bibliographic Details
Main Authors: Subin Lee, Young-Il Yoon, Yong Ju Jung
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Signal inpainting
signal restoration
modulation classification
CNN
GAN
SDR
Online Access:https://ieeexplore.ieee.org/document/10131900/

Internet

https://ieeexplore.ieee.org/document/10131900/

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