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A multiple-input Nyquist folding receiver architecture for low SNR wideband spectrum sensing

机译:用于低SNR宽带频谱感测的多输入Nyquist折叠接收机架构

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The ever increasing demand of communication makes the spectrum more crowded, and thus the Cognitive Radio (CR) emerged as a potential effective scheme to increase the utilization of spectrum. Sub-Nyquist sampling based CR can greatly reduce the sampling rate than those Nyquist sampling based schemes for wideband spectrum sensing. But existing single node sub-Nyquist sampling schmes seldom use spatial diversity and show poor recovery and detection performance in low Signal to Noise Ratio (SNR) condition. NYquist Folding Receiver (NYFR) as one of effective sub-Nyquist sampling schemes exhibits a lower system working frequency than most other schemes, but it is greatly effectted by noise. In this paper, we first investigate the property that the Additive White Gaussian Noise (AWGN) after sub-Nyquist sampling by NYFR is still the AWGN, then, we propose a Multiple Input NYquist Folding Receiver (MI-NYFR) scheme by using the noise white-keeping property and spatial diversity. The proposed scheme is tested respectively in denoising and detection respects in AWGN channel. Simulation results show that the proposed MI-NYFR exhibits good noise robustness and high detection probability very well in low SNR condition.
机译:通信需求的不断增长使频谱更加拥挤,因此认知无线电(CR)成为增加频谱利用率的潜在有效方案。与用于宽带频谱感测的基于奈奎斯特采样的方案相比,基于亚奈奎斯特采样的CR可以大大降低采样率。但是,现有的单节点亚奈奎斯特采样方案很少使用空间分集,并且在低信噪比(SNR)条件下显示出较差的恢复和检测性能。作为有效的次奈奎斯特采样方案之一,奈奎斯特折叠接收机(NYFR)的系统工作频率比大多数其他方案低,但受噪声影响很大。在本文中,我们首先研究了通过NYFR进行次奈奎斯特采样后的加性高斯白噪声(AWGN)仍然是AWGN的性质,然后,我们提出了一种使用噪声的多输入NYquist折叠接收器(MI-NYFR)方案。保持白色和空间多样性。所提出的方案分别在AWGN信道的去噪和检测方面进行了测试。仿真结果表明,所提出的MI-NYFR在低信噪比条件下表现出良好的噪声鲁棒性和较高的检测概率。

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