Automatic Modulation Classification for MIMO System Based on the Mutual Information Feature Extraction
Ussipov N. Akhtanov S. Zhanabaev Z. Turlykozhayeva D. Karibayev B. Namazbayev T. Almen D. Akhmetali A. Tang X.
2024Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2024#1268463 - 68470 pp.
Automatic Modulation Classification (AMC) is an essential technology that is widely applied into various communications scenarios. In recent years, many Machine Learning and Deep-Learning methods have been introduced into AMC, and a lot of them apply different approaches to eliminate interference in complex Multiple-Input and Multiple-Output (MIMO) signals and improve classification performance. However, in practical communication systems, the perfect elimination of MIMO signal interference is impossible, and therefore classification performance suffers. In this paper, we propose a new AMC algorithm for MIMO system based on mutual information (MI) features extraction, which does not require a large amount of training data and the elimination of MIMO signal interference. In this approach, features based on mutual information are extracted using In-Phase and Quadrature (IQ) constellation diagrams of MIMO signals, which have not been explored previously. Our method can be effective since mutual information considers the interdependencies among variables and measures how much information about one variable reduces uncertainty about another, providing a valuable perspective for extracting higher-level and interesting features from the data. The effectiveness of our method is evaluated on several model and real-world datasets, and its applicability is proven.
Automatic modulation classification , classifier , complex MIMO signals , entropy , feature extraction , mutual information
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Al-Farabi Kazakh National University, Faculty of Physics and Technology, Almaty, 050040, Kazakhstan
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Department of Telecommunication Engineering, Almaty, 050013, Kazakhstan
Northwestern Polytechinical University, School of Electronics and Information, Xian, 710071, China
Al-Farabi Kazakh National University
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev
Northwestern Polytechinical University
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