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中文摘要：
检测主要用户信号的能力是为认知收音机网络的主要表演之一。基于主要用户表明的 cyclostationary 和 multi-secondaryuser 的合作察觉优点的 multi-different-cyclic-frequency 特征，纸详细基于 cyclostationarity 论述加权的合作光谱察觉算法。算法的核心是由第二等的用户合作察觉检测主要用户信号到 multi-different-cyclic-frequency，并且根据独立第二等的用户察觉结果的熔化数据做一个最后的决定。同时，以便改进察觉表演，纸建议一个方法在偏转系数标准的基础上优化重量。模拟的结果证明建议算法甚至在低 signal-to-noise 比率(SNR ) 有更好的性能。
英文摘要：
The ability to detect the primary user＇s signal is one of the main performances for cognitive radio networks. Based on the multi-different-cyclic-frequency character- istics of the cyclostationary primary user＇s signal and the cooperation detection advantage of the multi-secondary-user, the paper presents the weighted cooperative spectrum detection algorithm based on cyclostationarity in detail. The core of the algorithm is to detect the primary user＇s signal by the secondary users＇ cooperation detection to the multi-different-cyclic-frequency, and to make a final decision according to the fusion data of the independent secondary users＇ detection results. Meanwhile, in order to improve the detection performance, the paper proposes a method to optimize the weight on basis of the deflection coefficient criterion. The result of simulation shows that the proposed algorithm has better performance even in low signal-to-noise ratio （SNR）.
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