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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2019-11-01
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Series: | Tongxin xuebao |
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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 |
id | doaj-art-53e71c00dcf547678afd79c3a224b2f6 |
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 |