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

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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Bibliographic Details
Main Authors: Zerun Li, Qinglin Wang, Yufei Zhu, Zuocheng Xing
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
automatic modulation classification
hierarchical self-organizing map
high-order cumulants
amplitude moments
clustering models
Online Access:https://www.mdpi.com/1424-8220/22/17/6449

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