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Widely Linear Cooperative Spectrum Sensing for Cognitive Radio Networks

机译:认知无线电网络的宽线性合作频谱感知

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The Spectrum Sensing is a fundamental functionality of the Cognitive Radio (CR) paradigm since a reliable detection of the presence of spectral holes is a mandatory requirement to avoid harmful interferences to licensed users. In this paper, we address this problem by proposing a widely linear (WL) cooperative strategy at a fusion center side where the CR user statistics have been received by means of multipath fading channels. The proposed strategy jointly elaborates the received signal and its conjugate version to take advantage by the information contained in the statistical pseudo-covariance function of the received signal. We design the WL strategy to maximize a modified deflection coefficient and we compare it with a strictly linear (SL) cooperative strategy. Results of numerical simulations show that the WL fusion-rule outperforms the SL one in operative conditions of practical interest.
机译:频谱感测是认知无线电(CR)范例的一项基本功能,因为必须可靠地检测频谱空洞的存在,以避免对许可用户造成有害干扰。在本文中,我们通过在融合中心侧提出一种广泛的线性(WL)合作策略来解决此问题,在该中心,通过多径衰落信道已接收到CR用户统计信息。所提出的策略共同详细说明了接收信号及其共轭形式,以利用接收信号的统计伪协方差函数中包含的信息来加以利用。我们设计WL策略以最大程度地提高修改后的挠度系数,并将其与严格线性(SL)协作策略进行比较。数值模拟结果表明,WL融合规则在实际感兴趣的操作条件下优于SL融合规则。

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