Automatic Modulation Recognition Method for Multiple Antenna System Based on Convolutional Neural Network

Juan Wang, Yu Wang, Wenmei Li, Guan Gui, Haris Gacanin, Fumiyuki Adachi

研究成果: Conference contribution

抄録

In this paper, we propose a convolutional neural network (CNN) aided automatic modulation recognition (AMR) method for a multiple antenna system. We also present two specific combination strategies, such as the relative majority voting method and arithmetic mean method to improve the classification performance in comparison with the state of the art. Our results are given to verify that the proposed method dominant exploits features and classify the modulation types with higher accuracy in comparison with the AMR employing high order cumulants (HOC) and artificial neural networks (ANN).

本文言語English
ホスト出版物のタイトル2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728194844
DOI
出版ステータスPublished - 2020 11
イベント92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada
継続期間: 2020 11 18 → …

出版物シリーズ

名前IEEE Vehicular Technology Conference
2020-November
ISSN(印刷版)1550-2252

Conference

Conference92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
国/地域Canada
CityVirtual, Victoria
Period20/11/18 → …

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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