Blind spectrum sensing based on the ratio of mean square to variance  被引量:4

Blind spectrum sensing based on the ratio of mean square to variance

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作  者:Ye Yinghui Lu Guangyue 

机构地区:[1]National Engineering Laboratory for Wireless Security, Xi'an University of Posts and Telecommunications

出  处:《The Journal of China Universities of Posts and Telecommunications》2016年第1期42-48,共7页中国邮电高校学报(英文版)

基  金:supported by Natural Science Foundation of China(61271276;61301091);Natural Science Foundation of Shaanxi Province(2014JM8299)

摘  要:Anderson-Darling (AD) sensing, characteristic function (CF) sensing and order statistic (OS) sensing are three common spectrum sensing (SS) methods based on goodness of fit (GOF) testing. However, AD and OS sensing needs the prior information of noise variance; CF and OS sensing have high computation complexity. To circumvent those difficulties, in this paper, the ratio of the mean square to variance (RM2V) of the samples, after deriving its probability density function (PDF), is employed as a test statistic to detect the availability of the vacant spectrum in the cognitive radio (CR) system. Then a blind SS method based on RM2V is proposed, which is dubbed as RM2V sensing, and its exact theoretical threshold is obtained via the derived PDF of RM2V. The performance of RM2V sensing is evaluated by theoretical analysis and Monte Carlo simulations. Comparing with the conventional energy detection (ED), AD, CF and OS sensing, RM2V sensing, with no need of noise variance, has advantages from the aspect of computation complexity and detection performance.Anderson-Darling (AD) sensing, characteristic function (CF) sensing and order statistic (OS) sensing are three common spectrum sensing (SS) methods based on goodness of fit (GOF) testing. However, AD and OS sensing needs the prior information of noise variance; CF and OS sensing have high computation complexity. To circumvent those difficulties, in this paper, the ratio of the mean square to variance (RM2V) of the samples, after deriving its probability density function (PDF), is employed as a test statistic to detect the availability of the vacant spectrum in the cognitive radio (CR) system. Then a blind SS method based on RM2V is proposed, which is dubbed as RM2V sensing, and its exact theoretical threshold is obtained via the derived PDF of RM2V. The performance of RM2V sensing is evaluated by theoretical analysis and Monte Carlo simulations. Comparing with the conventional energy detection (ED), AD, CF and OS sensing, RM2V sensing, with no need of noise variance, has advantages from the aspect of computation complexity and detection performance.

关 键 词:cognitive radio spectrum sensing goodness of fit testing the ratio of the mean square to variance 

分 类 号:TN925[电子电信—通信与信息系统]

 

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