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

机译:一种基于Jarqur-Bera统计的鲁棒检测算法

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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:本文研究了DTV(数字电视)频谱感测问题,它在认知无​​线电中起着关键作用。与现有的高阶统计量(HOS)方法相反,我们提出了一种基于JB(Jarqur-Bera)统计量的新型鲁棒频谱感知方法。在我们的新研究中,现有的HOS频谱感测技术可能常常不可靠。我们提出的基于JB统计的检测器经证明对模拟麦克风信号以及实际DTV信号均具有优越性。

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