Multiple antenna spectrum sensing in cognitive radios
Multiple antenna spectrum sensing in cognitive radios
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DOI：
10.1109/twc.2009.02.090385
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发表时间：
2010-02
影响因子：
10.4
通讯作者：
Abbas Taherpour;M. Nasiri-Kenari;S. Gazor
中科院分区：
文献类型：
--
作者：
Abbas Taherpour;M. Nasiri-Kenari;S. Gazor
本文研究了认知无线电中当噪声和主用户信号均为独立的复零均值高斯随机信号时，利用多天线进行频谱感知的问题。最佳多天线频谱感知检测器需要知道信道增益、噪声方差和主用户信号方差。在实践中，这些参数中的一些或全部可能是未知的，所以我们推导出广义似然比（GLR）检测器在这些情况下。GLR检测器是一种计算复杂度较低的盲不变检测器，其所有参数都是未知的。我们还分析计算建议GLR检测器的漏检和虚警概率。仿真结果提供了可用的权衡使用多天线技术的频谱感测，并说明了鲁棒性的建议GLR检测器相比，传统的能量检测器时，有一些不确定性，在给定的噪声方差。
In this paper, we consider the problem of spectrum sensing by using multiple antenna in cognitive radios when the noise and the primary user signal are assumed as independent complex zero-mean Gaussian random signals. The optimal multiple antenna spectrum sensing detector needs to know the channel gains, noise variance, and primary user signal variance. In practice some or all of these parameters may be unknown, so we derive the generalized likelihood ratio (GLR) detectors under these circumstances. The proposed GLR detector, in which all the parameters are unknown, is a blind and invariant detector with a low computational complexity. We also analytically compute the missed detection and false alarm probabilities for the proposed GLR detectors. The simulation results provide the available traded-off in using multiple antenna techniques for spectrum sensing and illustrates the robustness of the proposed GLR detectors compared to the traditional energy detector when there is some uncertainty in the given noise variance.