Deep Learning Based Sub-Nyquist Modulation Recognition-Reference-Cited by-同舟云学术

Deep Learning Based Sub-Nyquist Modulation Recognition

Published:2023-06-16 Issue: Volume: Page:
ISSN:
Container-title:2023 The 15th International Conference on Computer Modeling and Simulation
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Author:

Li Shuangning¹^ORCID,Hu Shaoqing²^ORCID,Nilavalan Rajagopal²^ORCID

Affiliation:

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, China

2. Department of Electronic and Electrical Engineering, Brunel University London, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3608251.3608264

Reference12 articles.

1. Machine Learning Based Automatic Modulation Recognition for Wireless Communications: A Comprehensive Survey

2. Automatic modulation recognition based on CNN and GRU

3. O'Shea , T. J. , Corgan , J. , & Clancy , T. C , " Convolutional radio modulation recognition networks, " in Engineering Applications of Neural Networks : 17th International Conference , EANN 2016 , Aberdeen, UK , September 2-5, 2016, Proceedings 17 (pp. 213 - 226 ). Springer International Publishing . O'Shea, T. J., Corgan, J., & Clancy, T. C, " Convolutional radio modulation recognition networks, " in Engineering Applications of Neural Networks: 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings 17 (pp. 213-226). Springer International Publishing.

4. Q. Zhou , X. Jing , Y. He , Y. Cui , M. Kadoch and M. Cheriet , " LSTM-based Automatic Modulation Classification," 2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) , Paris, France , 2020 , pp. 1 - 4 , doi: 10.1109/BMSB49480.2020.9379677. 10.1109/BMSB49480.2020.9379677 Q. Zhou, X. Jing, Y. He, Y. Cui, M. Kadoch and M. Cheriet, "LSTM-based Automatic Modulation Classification," 2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Paris, France, 2020, pp. 1-4, doi: 10.1109/BMSB49480.2020.9379677.

5. X. Liu , D. Yang and A. E. Gamal , " Deep neural network architectures for modulation classification," 2017 51st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA , USA , 2017 , pp. 915 - 919 , doi: 10.1109/ACSSC.2017.8335483. 10.1109/ACSSC.2017.8335483 X. Liu, D. Yang and A. E. Gamal, "Deep neural network architectures for modulation classification," 2017 51st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2017, pp. 915-919, doi: 10.1109/ACSSC.2017.8335483.