This paper presents fast Fourier transform (FFT)‐based multiband spectrum sensing over multipath Rayleigh frequency selective fading channels in single input multiple output (SIMO) in‐band full‐duplex (FD) cognitive radio (CR) networks (FDCRNs) under residual self‐interference (RSI). In this work, first, multiband energy detection using Neyman Pearson criterion is proposed in FDCRNs under RSI, where the secondary user is equipped with multiple receive antennas to exploit spatial diversity. Next, a two‐dimensional averaging is done to overcome spectrum leakage problem occurring due to FFT operation in orthogonal frequency division multiplexing (OFDM) system. The closed form expressions for average probability of detection and probability of false alarm are derived for SIMO FDCRNs under RSI. Further, RSI cancelation is performed employing noise robust wavelet decomposition‐based least squares scheme and the corresponding simulation studies indicate that the proposed algorithm further improves the detection performance in SIMO FDCRNs.

中文翻译：

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SIMO带内全双工认知无线电网络中基于FFT的多频带频谱感知

本文介绍了在残差自我下的单输入多输出（SIMO）带内全双工（FD）认知无线电（CR）网络中的多径瑞利频率选择性衰落信道上基于快速傅里叶变换（FFT）的多频带频谱感知干扰（RSI）。在这项工作中，首先，在RSI下的FDCRN中提出了使用Neyman Pearson准则的多频带能量检测，其中次要用户配备了多个接收天线以利用空间分集。接下来，进行二维平均以克服由于正交频分复用（OFDM）系统中的FFT操作而引起的频谱泄漏问题。对于RSI下的SIMO FDCRN，推导了平均检测概率和虚警概率的闭式表达式。进一步，