Refined Semi-Supervised Modulation Classification: Integrating Consistency Regularization and Pseudo-Labeling Techniques

Refined Semi-Supervised Modulation Classification: Integrating Consistency Regularization and Pseudo-Labeling Techniques

Automatic modulation classification (AMC) plays a crucial role in wireless communication by identifying the modulation scheme of received signals, bridging signal reception and demodulation. Its main challenge lies in performing accurate signal processing without prior information. While deep learni...

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Bibliographic Details
Main Authors: Min Ma, Shanrong Liu, Shufei Wang, Shengnan Shi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Future Internet
Subjects:
automatic modulation classification
semi-supervised learning
consistency regularization
data augmentation
Online Access:https://www.mdpi.com/1999-5903/16/2/38

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https://www.mdpi.com/1999-5903/16/2/38

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