Spectral-Correlation Based Spectrum Sensing Under Large Delay Spread Channels
Spectral-Correlation Based Spectrum Sensing Under Large Delay Spread Channels
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DOI：
10.1109/tvt.2022.3221054
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发表时间：
2023-03
影响因子：
6.8
通讯作者：
Yanru Ma;Ming Jin;Qing Guo;Ye Tian;Juan Liu
中科院分区：
文献类型：
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作者：
Yanru Ma;Ming Jin;Qing Guo;Ye Tian;Juan Liu
基于相关性的检测器在频谱感知中非常流行。在这些检测器中，通常采用时间相关来区分主用户信号和噪声。然而，大的信道延迟扩展会显著降低接收信号的相邻样本的相关性，从而导致基于时间相关的检测器的严重性能下降。在这项工作中，我们表明，不同的延迟版本的主要信号的功率谱密度有很高的相关性，尽管未知的延迟。然后，利用接收信号功率谱密度的相关性，提出了一种谱相关检测器。为了便于实际应用的建议检测器，我们还推导出了一个理论表达式，其判决阈值，以实现一个给定的虚警概率。此外，为了处理具有未知延迟轮廓的信道的情况下，我们采用或规则来联合收割机的时间和频谱相关检测器，导致时间-频谱相关检测器。还推导了其判决阈值的表达式。大量的数值模拟提供了验证的理论分析和证明的上级性能的检测器相比，国家的最先进的时间相关检测器。
Correlation based detectors are very popular for spectrum sensing. In these detectors, temporal correlation is often employed to discriminate the signals of primary users from noises. However, large channel delay spread can significantly decrease the correlation of neighbouring samples of received signals, inducing severe performance degradation of temporal correlation based detectors. In this work, we show that the power spectral densities of different delayed versions of a primary signal have high correlation, despite unknown delays. Then, by exploiting the correlation of power spectral densities of received signals, we propose a spectral-correlation detector. To facilitate the practical application of the proposed detector, we also derive a theoretical expression for its decision threshold to achieve a given false alarm probability. Furthermore, in order to handle the case of channels with unknown delay profile, we employ the OR rule to combine the temporal- and spectral-correlation detectors, leading to a temporal-spectral-correlation detector. An expression for its decision threshold is also derived. Extensive numerical simulations are provided to verify the theoretical analysis and demonstrate the superior performance of the two proposed detectors compared to state-of-the-art temporal correlation based detectors.