Sensing-Based Feature Engineering and Asynchronous OFDM Blind Modulation Classification Using SMOTE-DNN-Reference-Cited by-同舟云学术

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Sensing-Based Feature Engineering and Asynchronous OFDM Blind Modulation Classification Using SMOTE-DNN

Published:2024-07-15 Issue:14 Volume:24 Page:22117-22128
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yang Yuxiao¹^ORCID,Yang Junkai²^ORCID,Xu Chang²^ORCID,Shen Xiaobo²^ORCID

Affiliation:

1. Department of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Astronautics, Spacecraft Communication and Telemetry and Command (SCTC) Research Group, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10599846/10380493.pdf?arnumber=10380493

Reference39 articles.

1. Blind modulation classification: a concept whose time has come

2. Cognitive radio: making software radios more personal

3. An Introduction to Deep Learning for the Physical Layer

4. OFDM and Its Wireless Applications: A Survey

5. An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges;IEEE Access;2024

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