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A Novel Robust Detection Algorithm Using Jarqur-Bera Statistic for Spectrum Sensing

机译:一种新颖的鲁棒检测算法使用jarqur-bera统计学谱检测

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In this paper, the DTV (digital television) spectrum sensing problem is studied, which plays a key role in the cognitive radio. In contrast to the existing higher-order-statistics (HOS) approach, we propose a novel robust spectrum-sensing method, which is based on the JB (Jarqur-Bera) statistic. In our new studies, the existing HOS spectrum sensing technique may often not be robust. Our proposed JB-statistic based detector has been justified to be superior for the simulated microphone signals as well as the real DTV signals.
机译:在本文中,研究了DTV(数字电视)频谱传感问题,在认知无线电中起着关键作用。与现有的高阶统计(HOS)方法相比,我们提出了一种基于JB(Jarqur-Bera)统计信息的新型鲁棒频谱感测方法。在我们的新研究中,现有的HOS频谱传感技术通常不具有稳健性。我们所提出的JB统计学探测器已经证明了模拟麦克风信号以及真实DTV信号的优越。

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