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针对认知无线网络中小尺度授权用户的频谱检测问题,提出一种新的基于非高斯性测度的频谱感知新方法.由于在某一频段内,授权用户信号的出现会使得认知用户接收信号功率谱密度的统计分布特性发生显著改变,因此,利用峭度和偏度设计一个非高斯性测度统计量,进而提出利用非高斯性测度统计量来检测认知用户接收信号功率谱密度统计分布特性的变化,从而可以实现对认知无线网络中具有低发射功率的小尺度授权用户的准确检测.仿真实验结果表明,本文所提方法具有较好的频谱感知性能,并且对噪声的不确定性具有较好的鲁棒性.
Aiming at the problem of spectrum detection in small-scale authorized users in cognitive wireless networks, a new spectrum sensing method based on non-Gaussianity measure is proposed. Since the appearance of authorized user signals in a certain frequency band enables cognitive users to receive signal power Therefore, the use of kurtosis and skewness to design a non-Gaussian measure statistic, and then proposed the use of non-Gaussian measure statistic to detect cognitive users receive signal power spectral density statistical distribution characteristics So as to realize accurate detection of small-scale authorized users with low transmit power in cognitive wireless networks.The simulation results show that the proposed method has better spectrum sensing performance and has better performance in noise uncertainty Good robustness.