Modulation Signal Classification Algorithm Based on Denoising Residual Convolutional Neural Network

Modulation Signal Classification Algorithm Based on Denoising Residual Convolutional Neural Network

Traditional denoising algorithms are easy to lose signal details, resulting in low recognition accuracy of modulated signals. A modulation signal classification algorithm based on denoising residual Convolutional Neural Network (DRCNet) is proposed. DRCNet inserts a soft threshold function as a nonl...

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Bibliographic Details
Main Authors: Yecai Guo, Xue Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Automatic modulation classification
convolutional neural network
denoising network
long-short term memory network
Online Access:https://ieeexplore.ieee.org/document/9945928/

Internet

https://ieeexplore.ieee.org/document/9945928/

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