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 · 2020
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).