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Cooperative spectrum sensing using discrete goodness of fit testing for multi-antenna cognitive radio system

机译:使用多天线认知无线电系统配合测试的离散良好性的协作光谱感应

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In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining the above problem. The proposed algorithm dubbed DAD sensing is assessed through Monte Carlo simulations. It is shown that the performance of DAD sensing is robust to the antenna correlation and noise uncertainty.
机译:在基于多样性的多天线认知无线电系统中,由于信道相关性,基于协方差矩阵的现有协作谱检测算法的性能恶化。在本文中,我们将光谱感测为多项分布测试问题,然后应用离散的安德森亲爱的(爸爸)测试,一个离散的拟合测试的良好度,以检查上述问题。通过Monte Carlo模拟评估所提出的算法被称为DAD传感。结果表明,达达感测的性能对天线相关和噪声不确定性具有鲁棒性。

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