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

Abstract

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).

Authors 6

1. Juan Wang

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   NJUPT,College of Telecommunications and Information Engineering,Nanjing,China

   College of Telecommunications and Information Engineering, NJUPT, Nanjing, China

2. Yu Wang

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   NJUPT,College of Telecommunications and Information Engineering,Nanjing,China

   College of Telecommunications and Information Engineering, NJUPT, Nanjing, China

3. Wenmei Li

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   NJUPT,College of Telecommunications and Information Engineering,Nanjing,China

   College of Telecommunications and Information Engineering, NJUPT, Nanjing, China

   School of Geographic and Biologic Information, NJUPT, Nanjing, China

4. Guan Gui

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   NJUPT,College of Telecommunications and Information Engineering,Nanjing,China

   College of Telecommunications and Information Engineering, NJUPT, Nanjing, China

5. Haris Gacanin Aachen Faculty of Electrical Engineering and Information Technology

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Aachen,Germany

   Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany

6. Fumiyuki Adachi

   Tohoku University

   Affiliation as printed

   Tohoku University,Research Organization of Electrical Communication,Sendai,Japan

   Research Organization of Electrical Communication, Tohoku University, Sendai, Japan