Convolutional Neural Networks for Automatic Modulation Classification

Kaya O., Güçlüoğlu T.

Avrupa Bilim ve Teknoloji Dergisi, cilt.44, sa.1, ss.93-96, 2022 (Düzenli olarak gerçekleştirilen hakemli kongrenin bildiri kitabı)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 44 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.31590/ejosat.1224925
  • Dergi Adı: Avrupa Bilim ve Teknoloji Dergisi
  • Derginin Tarandığı İndeksler: Index Copernicus, Sobiad Atıf Dizini
  • Sayfa Sayıları: ss.93-96
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Automatic Modulation Classification (AMC) is the process of determining the modulation type of the signal which is taken by receiver in a communication system. Deep learning is a machine learning method having recently attracted great attention due to its superior performance of classifying complex data structures. The automatic modulation classification process, having a critical role in both civil and military applications, is examined in this study by using Convolutional Neural Networks (CNN), one of the deep learning approaches. Within this scope, the performance of the changes made on the net has been interpreted for different signal-to-noise ratio (SNR) values.