Blind detection of cyclostationary signals based on multi‐antenna beamforming technology

Abstract Cyclostationary feature detection is one of the widely used spectrum sensing techniques. Its greatest advantage is that it can effectively separate the signal from the noise under the condition of a low signal‐noise ratio (SNR). Although cyclostationary feature detection is not affected by...

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Autores principales:	Jie Wang, Rui Gao, Ding Ye, Zhenghua Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/5752e14e7d6a4306ac42ee942e66a842
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spelling	oai:doaj.org-article:5752e14e7d6a4306ac42ee942e66a8422021-11-09T04:19:38ZBlind detection of cyclostationary signals based on multi‐antenna beamforming technology1751-86361751-862810.1049/cmu2.12282https://doaj.org/article/5752e14e7d6a4306ac42ee942e66a8422021-12-01T00:00:00Zhttps://doi.org/10.1049/cmu2.12282https://doaj.org/toc/1751-8628https://doaj.org/toc/1751-8636Abstract Cyclostationary feature detection is one of the widely used spectrum sensing techniques. Its greatest advantage is that it can effectively separate the signal from the noise under the condition of a low signal‐noise ratio (SNR). Although cyclostationary feature detection is not affected by noise uncertainty like energy detection (ED), conventional cyclic stationary feature detection needs to know the prior conditions of signal cycle frequency (CF), cycle period, and so on. Moreover, the communication signals of authorized users are generally weak, which greatly affects the detection efficiency of cyclic stationary features. Therefore, this paper proposes a blind detection technique of cyclostationary characteristics based on conventional beam synthesis multi‐antenna. The principle is to enhance the signal receiving intensity of the antenna by using beamforming technology, and realize the blind detection of cyclostationary signals by forming the direction of arrival angle. Not only that, the authors also make full use of the Wilk's approximation theorem and the generalized likelihood ratio test (GLRT) to derive the detection probability and false alarm probability. The simulation results show that the proposed cyclic stationary signal detector based on beam synthesis multi‐antenna can realize blind detection of unknown cycle signals in a low SNR environment.Jie WangRui GaoDing YeZhenghua ZhangWileyarticleTelecommunicationTK5101-6720ENIET Communications, Vol 15, Iss 19, Pp 2439-2447 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Jie Wang Rui Gao Ding Ye Zhenghua Zhang Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
description	Abstract Cyclostationary feature detection is one of the widely used spectrum sensing techniques. Its greatest advantage is that it can effectively separate the signal from the noise under the condition of a low signal‐noise ratio (SNR). Although cyclostationary feature detection is not affected by noise uncertainty like energy detection (ED), conventional cyclic stationary feature detection needs to know the prior conditions of signal cycle frequency (CF), cycle period, and so on. Moreover, the communication signals of authorized users are generally weak, which greatly affects the detection efficiency of cyclic stationary features. Therefore, this paper proposes a blind detection technique of cyclostationary characteristics based on conventional beam synthesis multi‐antenna. The principle is to enhance the signal receiving intensity of the antenna by using beamforming technology, and realize the blind detection of cyclostationary signals by forming the direction of arrival angle. Not only that, the authors also make full use of the Wilk's approximation theorem and the generalized likelihood ratio test (GLRT) to derive the detection probability and false alarm probability. The simulation results show that the proposed cyclic stationary signal detector based on beam synthesis multi‐antenna can realize blind detection of unknown cycle signals in a low SNR environment.
format	article
author	Jie Wang Rui Gao Ding Ye Zhenghua Zhang
author_facet	Jie Wang Rui Gao Ding Ye Zhenghua Zhang
author_sort	Jie Wang
title	Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
title_short	Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
title_full	Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
title_fullStr	Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
title_full_unstemmed	Blind detection of cyclostationary signals based on multi‐antenna beamforming technology
title_sort	blind detection of cyclostationary signals based on multi‐antenna beamforming technology
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/5752e14e7d6a4306ac42ee942e66a842
work_keys_str_mv	AT jiewang blinddetectionofcyclostationarysignalsbasedonmultiantennabeamformingtechnology AT ruigao blinddetectionofcyclostationarysignalsbasedonmultiantennabeamformingtechnology AT dingye blinddetectionofcyclostationarysignalsbasedonmultiantennabeamformingtechnology AT zhenghuazhang blinddetectionofcyclostationarysignalsbasedonmultiantennabeamformingtechnology
_version_	1718441299024019456

Blind detection of cyclostationary signals based on multi‐antenna beamforming technology

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