Automatic digital modulation recognition using artificial neural networks

Zhao Yaqin; Ren Guanghui; Wang Xuexia; Wu Zhilu; Gu Xuemai

doi:10.1109/ICNNSP.2003.1279260

Automatic digital modulation recognition using artificial neural networks

Zhao Yaqin^*
, Ren Guanghui
, Wang Xuexia
, Wu Zhilu
, Gu Xuemai

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

44 Scopus citations

Abstract

This paper presents a modified structure and learning algorithm of artificial neural networks (ANN) for recognizing baseband signal modulation types in the presence of additive white Gaussian noise. The new method employs a layer with less output nodes and an error back propagation learning algorithm with momentum to improve the recognition performance. Simulation results and performance evaluation of the ANN are given and it is shown that the benefits of the developed method are that its structure is simple and it performs well at low signal to noise ratio (SNR) with high overall success rates.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	257-260
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1279260
State	Published - 2003
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	1

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

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10.1109/ICNNSP.2003.1279260

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Yaqin, Z., Guanghui, R., Xuexia, W., Zhilu, W., & Xuemai, G. (2003). Automatic digital modulation recognition using artificial neural networks. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 257-260). Article 1279260 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279260

@inproceedings{4e916082ffd0491a960d4136862e1c16,

title = "Automatic digital modulation recognition using artificial neural networks",

abstract = "This paper presents a modified structure and learning algorithm of artificial neural networks (ANN) for recognizing baseband signal modulation types in the presence of additive white Gaussian noise. The new method employs a layer with less output nodes and an error back propagation learning algorithm with momentum to improve the recognition performance. Simulation results and performance evaluation of the ANN are given and it is shown that the benefits of the developed method are that its structure is simple and it performs well at low signal to noise ratio (SNR) with high overall success rates.",

author = "Zhao Yaqin and Ren Guanghui and Wang Xuexia and Wu Zhilu and Gu Xuemai",

year = "2003",

doi = "10.1109/ICNNSP.2003.1279260",

language = "英语",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "257--260",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Yaqin, Z, Guanghui, R, Xuexia, W, Zhilu, W & Xuemai, G 2003, Automatic digital modulation recognition using artificial neural networks. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1279260, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 1, pp. 257-260, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1279260

Automatic digital modulation recognition using artificial neural networks. / Yaqin, Zhao; Guanghui, Ren; Xuexia, Wang et al.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 257-260 1279260 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic digital modulation recognition using artificial neural networks

AU - Yaqin, Zhao

AU - Guanghui, Ren

AU - Xuexia, Wang

AU - Zhilu, Wu

AU - Xuemai, Gu

PY - 2003

Y1 - 2003

N2 - This paper presents a modified structure and learning algorithm of artificial neural networks (ANN) for recognizing baseband signal modulation types in the presence of additive white Gaussian noise. The new method employs a layer with less output nodes and an error back propagation learning algorithm with momentum to improve the recognition performance. Simulation results and performance evaluation of the ANN are given and it is shown that the benefits of the developed method are that its structure is simple and it performs well at low signal to noise ratio (SNR) with high overall success rates.

AB - This paper presents a modified structure and learning algorithm of artificial neural networks (ANN) for recognizing baseband signal modulation types in the presence of additive white Gaussian noise. The new method employs a layer with less output nodes and an error back propagation learning algorithm with momentum to improve the recognition performance. Simulation results and performance evaluation of the ANN are given and it is shown that the benefits of the developed method are that its structure is simple and it performs well at low signal to noise ratio (SNR) with high overall success rates.

UR - https://www.scopus.com/pages/publications/33745141083

U2 - 10.1109/ICNNSP.2003.1279260

DO - 10.1109/ICNNSP.2003.1279260

M3 - 会议稿件

AN - SCOPUS:33745141083

SN - 0780377028

SN - 9780780377028

T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

SP - 257

EP - 260

BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

Yaqin Z, Guanghui R, Xuexia W, Zhilu W, Xuemai G. Automatic digital modulation recognition using artificial neural networks. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 257-260. 1279260. (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03). doi: 10.1109/ICNNSP.2003.1279260

Automatic digital modulation recognition using artificial neural networks

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