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Opportunistic Spectrum Access of Sparse Wideband in Stand-Alone and Cooperative Cognitive Radio Networks

机译:独立和合作认知无线电网络中稀疏宽带的机会频谱访问

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Opportunistic spectrum access in wideband regime requires higher processing capabilities of digital radio front ends. An emerging signal processing approach termed compressive sensing enables estimation of the sparse wideband exploiting very few compressive measurements, thus employs relief of high-speed signal processing units. This letter proposes a novel scheme of wideband sensing for cognitive radio where sensing performance is increased with signal sparsity levels. Detection performance is again improved introducing cooperation among the radio nodes which applies well known fusion rules. Numerical simulations of the detection performance are provided for both the stand-alone and cooperative schemes.
机译:宽带制度的机会主义频谱访问需要数字无线电前端的更高的处理能力。一种新出现的信号处理方法称为压缩感测,使得能够估计稀疏宽带利用非常少量的压缩测量,从而采用高速信号处理单元的浮雕。这封信提出了对认知无线电的宽带感测的新方案,其中感测性能随信号稀疏性水平而增加。再次改善了应用众所周知的融合规则的无线电节点之间的合作改善了检测性能。用于独立和协作方案的检测性能的数值模拟。

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