Automatic Modulation Classification of Digital Communication Signals Using SVM Based on Hybrid Features, Cyclostationary, and Information Entropy

Automatic Modulation Classification of Digital Communication Signals Using SVM Based on Hybrid Features, Cyclostationary, and Information Entropy

Since digital communication signals are widely used in radio and underwater acoustic systems, the modulation classification of these signals has become increasingly significant in various military and civilian applications. However, due to the adverse channel transmission characteristics and low sig...

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Bibliographic Details
Main Authors: Yangjie Wei, Shiliang Fang, Xiaoyan Wang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Entropy
Subjects:
modulation classification
digital communication signals
cyclostationary
information entropy
SVM
Online Access:https://www.mdpi.com/1099-4300/21/8/745

Internet

https://www.mdpi.com/1099-4300/21/8/745

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