基于协方差的次奈奎斯特采样OFDM频谱感知
Covariance-Based OFDM Spectrum Sensing with Sub-Nyquist Samples
摘要：
在本文中，我们提出了一种基于特征的方法的频谱感知的OFDM信号的子奈奎斯特样本在一个单一的频带。我们利用OFDM信号的协方差矩阵的结构，将一组欠定的基于协方差的方程转换为超定的。分析了样本协方差矩阵的统计特性，并在此基础上推导出了一种近似的广义似然比检验（GLRT），用于从亚奈奎斯特样本中检测OFDM信号。该方法也被推广到频率选择性信道。
英文摘要：
In this paper, we propose a feature-based method for spectrum sensing of OFDM signals from sub-Nyquist samples over a single band. We exploit the structure of the covariance matrix of OFDM signals to convert an underdetermined set of covariance-based equations to an overdetermined one. The statistical properties of sample covariance matrix are analyzed and then based on that an approximate Generalized Likelihood Ratio Test (GLRT) for detection of OFDM signals from sub-Nyquist samples is derived. The method is also extended to the frequency-selective channels.
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