Cyclostationary Feature Based Modulation Classification With Convolutional Neural Network in Multipath Fading Channels

Cyclostationary Feature Based Modulation Classification With Convolutional Neural Network in Multipath Fading Channels

Modulation classification has been widely studied in recent years. However, few studies focus on the performance degradation in multipath fading channels, whose impact is non-negligible. In this paper, a convolutional neural network (CNN) employing cyclostationary (CS) feature, which maintain the es...

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Bibliographic Details
Main Authors: Liyan Yin, Xin Xiang, Yuan Liang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Modulation classification
cyclostationary features
convolutional neural network
multipath fading channels
Online Access:https://ieeexplore.ieee.org/document/10264093/

Internet

https://ieeexplore.ieee.org/document/10264093/

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