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

查看全文 作　　者：Ye [1]Yinghui;Lu [1]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》索引2016年第23卷第1期,共7页

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 RM2 V is proposed, which is dubbed as RM2 V sensing, and its exact theoretical threshold is obtained via the derived PDF of RM2 V. The performance of RM2 V sensing is evaluated by theoretical analysis and Monte Carlo simulations. Comparing with the conventional energy detection(ED), AD, CF and OS sensing, RM2 V sensing, with no need of noise variance, has advantages from the aspect of computation complexity and detection performance. 关键词：方差比感知频谱传感性能计算复杂度能量检测操作系统概率密度函数

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

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