Wireless signal modulation identification method based on RF I/Q data distribution

Abstract Electromagnetic spectrum detection is the basis of the next generation wireless communication technology. Wireless signal identification is an important part of electromagnetic spectrum detection and management activities. This paper proposes to extract the distribution features of differen...

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Autores principales:	Lihui Wang, Zhenjia Chen, Yonghui Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fde8959014ea4524a2becf7e23029c57
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id	oai:doaj.org-article:fde8959014ea4524a2becf7e23029c57
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spelling	oai:doaj.org-article:fde8959014ea4524a2becf7e23029c572021-11-08T10:52:22ZWireless signal modulation identification method based on RF I/Q data distribution10.1038/s41598-021-00723-72045-2322https://doaj.org/article/fde8959014ea4524a2becf7e23029c572021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00723-7https://doaj.org/toc/2045-2322Abstract Electromagnetic spectrum detection is the basis of the next generation wireless communication technology. Wireless signal identification is an important part of electromagnetic spectrum detection and management activities. This paper proposes to extract the distribution features of different modulated signals from the signal I/Q data. A two-dimensional gradient matrix is used to describe the characteristics of the signal classification. The minimum gradient cumulative distance (GCD) estimate between the sample and the model is used as the decision criterion for the signal classification. According to the result of the confusion matrix, the weight of the model is adjusted. Experiments show that the recognition rate of the modulated signal mentioned in this paper can reach 82.75%. The I/Q data sample was extracted under actual engineering conditions involving random noise, and the recognition rate dropped to approximately 79%. Based on the initial model gradient matrix, a reasonable algorithm is set to adjust the weight of the model, which can effectively improve the recognition rate of the modulated signal.Lihui WangZhenjia ChenYonghui ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lihui Wang Zhenjia Chen Yonghui Zhang Wireless signal modulation identification method based on RF I/Q data distribution
description	Abstract Electromagnetic spectrum detection is the basis of the next generation wireless communication technology. Wireless signal identification is an important part of electromagnetic spectrum detection and management activities. This paper proposes to extract the distribution features of different modulated signals from the signal I/Q data. A two-dimensional gradient matrix is used to describe the characteristics of the signal classification. The minimum gradient cumulative distance (GCD) estimate between the sample and the model is used as the decision criterion for the signal classification. According to the result of the confusion matrix, the weight of the model is adjusted. Experiments show that the recognition rate of the modulated signal mentioned in this paper can reach 82.75%. The I/Q data sample was extracted under actual engineering conditions involving random noise, and the recognition rate dropped to approximately 79%. Based on the initial model gradient matrix, a reasonable algorithm is set to adjust the weight of the model, which can effectively improve the recognition rate of the modulated signal.
format	article
author	Lihui Wang Zhenjia Chen Yonghui Zhang
author_facet	Lihui Wang Zhenjia Chen Yonghui Zhang
author_sort	Lihui Wang
title	Wireless signal modulation identification method based on RF I/Q data distribution
title_short	Wireless signal modulation identification method based on RF I/Q data distribution
title_full	Wireless signal modulation identification method based on RF I/Q data distribution
title_fullStr	Wireless signal modulation identification method based on RF I/Q data distribution
title_full_unstemmed	Wireless signal modulation identification method based on RF I/Q data distribution
title_sort	wireless signal modulation identification method based on rf i/q data distribution
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fde8959014ea4524a2becf7e23029c57
work_keys_str_mv	AT lihuiwang wirelesssignalmodulationidentificationmethodbasedonrfiqdatadistribution AT zhenjiachen wirelesssignalmodulationidentificationmethodbasedonrfiqdatadistribution AT yonghuizhang wirelesssignalmodulationidentificationmethodbasedonrfiqdatadistribution
_version_	1718442581732360192

Wireless signal modulation identification method based on RF I/Q data distribution

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