Automatic Modulation Classification for MASK, MPSK, and MQAM Signals Based on Hierarchical Self-Organizing Map

Automatic modulation classification (AMC) plays a fundamental role in common communication systems. Existing clustering models typically handle fewer modulation types with lower classification accuracies and more computational resources. This paper proposes a hierarchical self-organizing map (SOM) b...

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Detalles Bibliográficos
Autores principales: Li, Zerun, Wang, Qinglin, Zhu, Yufei, Xing, Zuocheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459754/
https://www.ncbi.nlm.nih.gov/pubmed/36080908
http://dx.doi.org/10.3390/s22176449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459754/
https://www.ncbi.nlm.nih.gov/pubmed/36080908
http://dx.doi.org/10.3390/s22176449

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