A Universal Multiple Antenna Test for Spectrum Sensing
A Universal Multiple Antenna Test for Spectrum Sensing
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DOI：
10.1109/lcomm.2018.2883468
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发表时间：
2019-02
期刊：
影响因子：
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通讯作者：
Abbas Taherpour;Mohammadreza Toghraei
中科院分区：
文献类型：
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作者：
Abbas Taherpour;Mohammadreza Toghraei
我们提出了一种基于复杂 Rao 测试的通用多天线检测器，用于认知无线电中的频谱感知。与传统的频谱感知探测器相比，我们没有对主用户的信号及其协方差矩阵做出任何特定的假设，以计算决策统计量。首先，我们通过假设完全了解噪声协方差矩阵来推导出最佳检测器。然后，我们考虑噪声方差已知的情况下噪声协方差矩阵的三种特殊结构，然后在噪声方差未知时在校准和未校准的天线阵列中考虑噪声协方差矩阵的三种特殊结构，并在每种情况下重新推导相应的检测器。仿真结果表明，在不同的实际场景下，所提出的检测器的性能优于同类检测器。
We propose a general multiple antennas’ detector for spectrum sensing in cognitive radios based on complex Rao test. In contrast with conventional spectrum sensing detectors, we do not make any particular assumption for the primary user’s signal and its covariance matrix, for calculating the decision statistics. First, we derive the optimal detector by assuming complete knowledge about noise covariance matrix. Then, we consider three special structures for noise covariance matrices for cases when the variance of the noise is known and then in the calibrated and also uncalibrated antenna array, when the noise variance is unknown, and re-derive the corresponding detectors in each of these cases. Simulation results show that the performance of the proposed detectors is better than their counterparts under different practical scenarios.