通信学报2011，Vol.32Issue(11)：27-34,8.
认知无线电中基于拟合优度的频谱盲检测算法研究
Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power
摘要
Abstract
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 /-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.关键词
Anderson-Darling检测/特征函数检测/噪声方差未知/频谱检测/能量检测/衰落信道Key words
Anderson-Darling sensing/characteristic function sensing/noise uncertainty/spectrum sensing/energy detection-based sensing/fading channel分类
信息技术与安全科学引用本文复制引用
沈雷,王海泉,赵知劲,孙闽红..认知无线电中基于拟合优度的频谱盲检测算法研究[J].通信学报,2011,32(11):27-34,8.基金项目
国家自然科学基金资助项目(60972049,60972092) （60972049,60972092）
浙江省自然科学基金资助项目(Y1090846) （Y1090846）
通信抗干扰国家重点实验室基金资助项目(9140C020405110C0204) （9140C020405110C0204）
