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机构地区:[1]北京邮电大学泛网无线通信教育部重点实验室,北京100876 [2]北京石油化工学院信息工程学院,北京102600
出 处:《北京邮电大学学报》2013年第6期108-112,共5页Journal of Beijing University of Posts and Telecommunications
基 金:国家高技术研究发展计划项目(2009AA01Z262);国家科技重大专项项目(2009ZX03006-006)
摘 要:为提高协作频谱感知的检测精度,提出了一种基于协作感知网络来选择感知用户和估计信噪比的算法.算法利用感知用户之间采样信号的相关特性,构造了相关矩阵,根据矩阵元素的性质估算出各感知用户的信道特性参数:感知用户信道增益比、信噪比和噪声方差等.算法的实现仅仅基于感知用户的采样信号,无需借助于主用户的任何先验信息,因而具有极高的实用价值.同时简要分析了要实现该算法,感知用户数量必须大于等于3.通过仿真实验验证了不同条件下信噪比和信道增益比的估计效果.An algorithm was proposed, which can choose secondary users and estimate signal to noise ra- tio (SNR) in order to improve the accuracy of cooperative spectrum sensing. The algorithm constructs a correlation matrix by means of the related characteristics of the signals of secondary users. According to the properties of matrix elements, some parameters of channels, e.g. ratio of channels gain, SNR and variance of noise were estimated. The realization of the algorithm was only based on the sampled signals of secondary users without any prior knowledge of primary users. The number of secondary users must be greater than three in cooperative spectrum sensing network. Simulations testify the effects of the algorithm about SNR and the ratio of channel gain.
关 键 词:认知无线电 协作频谱感知 相关矩阵 信噪比估计 信道增益比
分 类 号:TN919[电子电信—通信与信息系统]
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