Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation

Automatic modulation classification (AMC) is an essential factor in dynamic spectrum access to fulfill the spectrum demand of 5G wireless communications for achieving high data rate and low latency. Many deep learning (DL)-based AMC methods have achieved improved accuracy for classifying analog modu...

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Detalles Bibliográficos

Principais autores:	Myung Chul Park, Dong Seog Han
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2021-01-01
Series:	IEEE Access
Assuntos:	Automatic modulation classification cognitive radio deep learning modulation neural networks orthogonal frequency-division multiplexing (OFDM)
Acceso en liña:	https://ieeexplore.ieee.org/document/9505673/
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