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中文摘要：
基于特征函数的盲频谱感知算法（CAD）检测性能较好但运算量大。利用样本特征构造了新的检验统计量，推导了频谱空闲时检验统计量的概率密度函数和判决门限，分析了所提算法的检测性能和计算量，从而提出认知无线电中基于二项分布的快速盲频谱感知算法。理论分析和仿真表明，所提算法与CAD算法检测性能相当，同时运算量明显低于CAD算法。
英文摘要：
The performance of the existing blind spectrum sensing algorithm based on characteristic function and Anderson-Darling test（CAD） is excellent, however, with heavily computation. In this paper, the sample feature is employed as the test statistic to sense the available spectrum for the cognitive users and a blind and fast spectrum sensing based on binomial distribution is pro- posed. The probability density functions （PDF） of test statistic under free of frequency channel is derived and then theoretical threshold is given. Finally, with comparison to CAD algorithm, analysis and numerical simulations show the proposed algorithm has almost comparable performances and low computation apparently.
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