Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power

Based on t-distribution and Anderson-Darling test,the first,a method was proposed of spectrum sensing under assumptions that the noise variance was unknown and also the channel information was unknown.Indeed,the sensing was conducted based on Anderson-Darling distance between the distribution of rat...

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Bibliographic Details
Main Authors: Lei SHEN, Hai-quan WANG, Zhi-jin ZHAO, Min-hong SUN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-11-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2011)11-0027-08/
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Summary:Based on t-distribution and Anderson-Darling test,the first,a method was proposed of spectrum sensing under assumptions that the noise variance was unknown and also the channel information was unknown.Indeed,the sensing was conducted based on Anderson-Darling distance between the distribution of ratio of sample’s mean to sample’s variance and the t-distribution.The second,another sensing method was proposed,under the same assumptions as the above,based on Anderson-Darling distance between the empirical characteristic function and a known characteristic function.The third,lower bounds on detection probabilities of sensings above were given for a flat,slow fading channel.Theoretical analysis and simulations show that the performances of proposed methods are much better than energy detector-based sensing with known noise variance,especially under an environment of a low signal to noise ration(SNR),or small number of samples.
ISSN:1000-436X