Robust Computationally-Efficient Wireless Emitter Classification Using Autoencoders and Convolutional Neural Networks

This paper proposes a novel Deep Learning (DL)-based approach for classifying the radio-access technology (RAT) of wireless emitters. The approach improves computational efficiency and accuracy under harsh channel conditions with respect to existing approaches. Intelligent spectrum monitoring is a c...

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Detalles Bibliográficos
Autores principales: Almazrouei, Ebtesam, Gianini, Gabriele, Almoosa, Nawaf, Damiani, Ernesto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037386/
https://www.ncbi.nlm.nih.gov/pubmed/33915685
http://dx.doi.org/10.3390/s21072414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037386/
https://www.ncbi.nlm.nih.gov/pubmed/33915685
http://dx.doi.org/10.3390/s21072414

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