Fusion spectrum sensing algorithm based on eigenvalues

Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenv...

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Main Authors: Wenjing ZHAO, He LI, Minglu JIN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2019-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019201/
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author Wenjing ZHAO
He LI
Minglu JIN
author_facet Wenjing ZHAO
He LI
Minglu JIN
author_sort Wenjing ZHAO
collection DOAJ
description Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2019-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-53e71c00dcf547678afd79c3a224b2f62025-01-14T07:18:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-11-0140576459731883Fusion spectrum sensing algorithm based on eigenvaluesWenjing ZHAOHe LIMinglu JINAiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019201/spectrum sensingrandom matrix theoryeigenvalues
spellingShingle Wenjing ZHAO
He LI
Minglu JIN
Fusion spectrum sensing algorithm based on eigenvalues
Tongxin xuebao
spectrum sensing
random matrix theory
eigenvalues
title Fusion spectrum sensing algorithm based on eigenvalues
title_full Fusion spectrum sensing algorithm based on eigenvalues
title_fullStr Fusion spectrum sensing algorithm based on eigenvalues
title_full_unstemmed Fusion spectrum sensing algorithm based on eigenvalues
title_short Fusion spectrum sensing algorithm based on eigenvalues
title_sort fusion spectrum sensing algorithm based on eigenvalues
topic spectrum sensing
random matrix theory
eigenvalues
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019201/
work_keys_str_mv AT wenjingzhao fusionspectrumsensingalgorithmbasedoneigenvalues
AT heli fusionspectrumsensingalgorithmbasedoneigenvalues
AT minglujin fusionspectrumsensingalgorithmbasedoneigenvalues