Automatic Modulation Classification for MIMO System Based on the Mutual Information Feature Extraction-Reference-Cited by-同舟云学术

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Automatic Modulation Classification for MIMO System Based on the Mutual Information Feature Extraction

Published:2024 Issue: Volume:12 Page:68463-68470
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ussipov N.¹,Akhtanov S.¹^ORCID,Zhanabaev Z.¹,Turlykozhayeva D.¹^ORCID,Karibayev B.²^ORCID,Namazbayev T.¹^ORCID,Almen D.¹,Akhmetali A.¹^ORCID,Tang Xiao³^ORCID

Affiliation:

1. Faculty of Physics and Technology, Al-Farabi Kazakh National University, Almaty, Kazakhstan

2. Department of Telecommunication Engineering, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Almaty, Kazakhstan

3. School of Electronics and Information, Northwestern Polytechinical University, Xi’an, China

Funder

Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530043.pdf?arnumber=10530043

Reference49 articles.

1. Automatic Modulation Classification: A Deep Learning Enabled Approach

2. Deep Learning-Based Cooperative Automatic Modulation Classification Method for MIMO Systems

3. A robust modulation classification method using convolutional neural networks

4. Deep Learning-Based Automatic Modulation Classification Over MIMO Keyhole Channels

5. Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network

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