A Hybrid Deep Learning Model for Automatic Modulation Classification

Automatic modulation classification (AMC) is one of the major challenges for cognitive radio (CR), which can enhance the spectrum utilization efficiency. In this study, a hybrid signal and image-based deep learning model is designed for AMC in CR. A convolutional neural network (CNN) is applied in b...

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Veröffentlicht in:	IEEE wireless communications letters 2022-02, Vol.11 (2), p.313-317
Hauptverfasser:	Kim, Seung-Hwan, Moon, Chang-Bae, Kim, Jae-Woo, Kim, Dong-Seong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Automatic modulation classification Classification Cognitive radio Color imagery convolution neural network Convolutional neural networks Deep learning Feature extraction Kernel Machine learning Modulation Noise levels Signal to noise ratio Training
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