结合协同与空间分集的双阈值能量检测器柔性分布式宽带认知无线电网络

G. Ferré, Mickael Raoult
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引用次数: 2

摘要

为了提高无线电频谱利用率,提出了认知无线电(CR)技术,该技术可以动态地利用检测到的空闲频段。为了给授权的主用户(PU)提供足够的安全性,并且不损失CR容量,频谱感知是CR的基本要求。此外,如果要解决宽带的频谱感知问题,当前的想法是通过将宽带感知划分为几个子频段感知来将其分配给网络中的所有CR。然而,这种物理频谱划分可能太宽,无法检测窄带PU。在本文中,我们建议使用数值快速傅立叶变换(FFT)对这些子带进行数字分析。然后通过双阈值能量检测方法在每个子-子波段进行分析。对于目标概率的PU检测,仿真结果显示了该系统在解决多优化问题时的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible distributed wideband cognitive radio network with double threshold energy detector combining cooperative and spatial diversity
To improve the radio spectrum utilization, cognitive radio (CR) technology, which can dynamically use frequency bands detected as free, has been proposed. To provide this detection with sufficiently security for the licensed primary user (PU) and without a loss of CR capacity, spectrum sensing is a fundamental requirement in CR. Also, if this spectrum sensing is addressed for wideband, a current idea is to distribute it among all CRs in the network by dividing the wideband sensing into several sub-bands sensing. However, this physical spectrum division can be too wide to detect narrow band PU. In this paper, we propose to analyse digitally these sub-bands by using a numerical fast Fourier transform (FFT). This analysis is then made, in each sub-sub-bands, by a double threshold energy detection method. For a targeted probability of PU detection, simulation results show the possibilities of the proposed system when a multi-optimization problem is addressed.
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