Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning

Ruichen Yuan; Jian Xie

doi:10.1007/978-981-15-8155-7_349

Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning

Ruichen Yuan, Jian Xie

电子信息学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Automatic modulation classification (AMC), whose main purpose is to recognize the received signal modulation mode under multi-signal environment and noise interference, provides the foundation for subsequent signal processing. In our paper, we propose a novel robust and real-time AMC implementation method based on deep learning (DL) and cognitive radio (CR), which can get faster recognition and higher accuracy. In this paper, it only needs 79.76us to recognize a set of data, and the accuracy is great than 90% at low signal-to-noise ratio.

源语言	英语
主期刊名	Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
编辑	Liang Yan, Haibin Duan, Xiang Yu
出版商	Springer Science and Business Media Deutschland GmbH
页	4189-4199
页数	11
ISBN（印刷版）	9789811581540
DOI	https://doi.org/10.1007/978-981-15-8155-7_349
出版状态	已出版 - 2022
活动	International Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, 中国期限: 23 10月 2020 → 25 10月 2020

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	644 LNEE
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	International Conference on Guidance, Navigation and Control, ICGNC 2020
国家/地区	中国
市	Tianjin
时期	23/10/20 → 25/10/20

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10.1007/978-981-15-8155-7_349

其它文件与链接

链接到 Scopus 的出版物

引用此

Yuan, R., & Xie, J. (2022). Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning. 在 L. Yan, H. Duan, & X. Yu (编辑), Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020 (页码 4189-4199). (Lecture Notes in Electrical Engineering; 卷 644 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8155-7_349

Yuan, Ruichen ; Xie, Jian. / Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning. Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020. 编辑 / Liang Yan ; Haibin Duan ; Xiang Yu. Springer Science and Business Media Deutschland GmbH, 2022. 页码 4189-4199 (Lecture Notes in Electrical Engineering).

@inproceedings{078a3f3685f6452281f398dbe4677a0d,

title = "Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning",

abstract = "Automatic modulation classification (AMC), whose main purpose is to recognize the received signal modulation mode under multi-signal environment and noise interference, provides the foundation for subsequent signal processing. In our paper, we propose a novel robust and real-time AMC implementation method based on deep learning (DL) and cognitive radio (CR), which can get faster recognition and higher accuracy. In this paper, it only needs 79.76us to recognize a set of data, and the accuracy is great than 90% at low signal-to-noise ratio.",

keywords = "Automatic modulation classification, Deep learning, Software defined radio",

author = "Ruichen Yuan and Jian Xie",

note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",

year = "2022",

doi = "10.1007/978-981-15-8155-7_349",

language = "英语",

isbn = "9789811581540",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "4189--4199",

editor = "Liang Yan and Haibin Duan and Xiang Yu",

booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",

}

Yuan, R & Xie, J 2022, Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning. 在 L Yan, H Duan & X Yu (编辑), Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020. Lecture Notes in Electrical Engineering, 卷 644 LNEE, Springer Science and Business Media Deutschland GmbH, 页码 4189-4199, International Conference on Guidance, Navigation and Control, ICGNC 2020, Tianjin, 中国, 23/10/20. https://doi.org/10.1007/978-981-15-8155-7_349

Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning. / Yuan, Ruichen; Xie, Jian.
Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020. 编辑 / Liang Yan; Haibin Duan; Xiang Yu. Springer Science and Business Media Deutschland GmbH, 2022. 页码 4189-4199 (Lecture Notes in Electrical Engineering; 卷 644 LNEE).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning

AU - Yuan, Ruichen

AU - Xie, Jian

PY - 2022

Y1 - 2022

N2 - Automatic modulation classification (AMC), whose main purpose is to recognize the received signal modulation mode under multi-signal environment and noise interference, provides the foundation for subsequent signal processing. In our paper, we propose a novel robust and real-time AMC implementation method based on deep learning (DL) and cognitive radio (CR), which can get faster recognition and higher accuracy. In this paper, it only needs 79.76us to recognize a set of data, and the accuracy is great than 90% at low signal-to-noise ratio.

AB - Automatic modulation classification (AMC), whose main purpose is to recognize the received signal modulation mode under multi-signal environment and noise interference, provides the foundation for subsequent signal processing. In our paper, we propose a novel robust and real-time AMC implementation method based on deep learning (DL) and cognitive radio (CR), which can get faster recognition and higher accuracy. In this paper, it only needs 79.76us to recognize a set of data, and the accuracy is great than 90% at low signal-to-noise ratio.

KW - Automatic modulation classification

KW - Deep learning

KW - Software defined radio

UR - http://www.scopus.com/inward/record.url?scp=85120638383&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-8155-7_349

DO - 10.1007/978-981-15-8155-7_349

M3 - 会议稿件

AN - SCOPUS:85120638383

SN - 9789811581540

T3 - Lecture Notes in Electrical Engineering

SP - 4189

EP - 4199

BT - Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020

A2 - Yan, Liang

A2 - Duan, Haibin

A2 - Yu, Xiang

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Guidance, Navigation and Control, ICGNC 2020

Y2 - 23 October 2020 through 25 October 2020

ER -

Yuan R, Xie J. Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning. 在 Yan L, Duan H, Yu X, 编辑, Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020. Springer Science and Business Media Deutschland GmbH. 2022. 页码 4189-4199. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-8155-7_349

Robust and Real-Time Automatic Modulation Classification System Based on Deep Learning

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