Depth Analysis in Deep Learning-Based Automatic Modulation Classification

Derin Öğrenme Tabanlı Otomatik Modülasyon Sınıflandırmasında Derinlik Analizi

Authors

  • Osman Kaya Yıldız Teknik University, Department of Electronics and Communication Engineering
  • Tansal Güçlüoğlu Yıldız Teknik University, Department of Electronics and Communication Engineering
  • Hacı İlhan Yıldız Teknik University, Department of Electronics and Communication Engineering

Keywords:

Modulation, Classification, Convolutional Neural Networks

Abstract

Automatic Modulation Classification (AMC) is the process of determining the modulation type of a signal received by a communication system. Deep learning, a machine learning technique, has recently garnered significant attention due to its outstanding ability to classify intricate data structures. This study delves into the critical role of automatic modulation classification processes in both civil and military applications, utilizing Convolutional Neural Networks (CNN) as a deep learning approach. In this study, unlike other studies, the effect of changing the depth level of the network on the accuracy level was investigated.

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Published

31-07-2024

How to Cite

[1]
O. Kaya, T. Güçlüoğlu, and H. İlhan, “Depth Analysis in Deep Learning-Based Automatic Modulation Classification: Derin Öğrenme Tabanlı Otomatik Modülasyon Sınıflandırmasında Derinlik Analizi”, JAST, vol. 17, no. 2, pp. 18–45, Jul. 2024.

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