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首页> 外文期刊>WSEAS Transactions on Signal Processing >Two-stage sequential spectrum sensing detector based on Higher-Order Statistics for Cognitive Radio
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Two-stage sequential spectrum sensing detector based on Higher-Order Statistics for Cognitive Radio

机译：基于认知无线电的高阶统计的两阶段顺序频谱传感探测器

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摘要

In cognitive radio (CR), spectrum sensing techniques aim to allow cognitive users to effectively recycle the spectrum resources without interrupting the active primary users. Several detectors have been proposed including the energy detector, matched filters, and the cyclostationary detector but most of these are either too complex or unable to perform efficiently in low signal-to-noise ratio (SNR) environments, as blind detectors. In this paper, a partial two-stage sequential spectrum sensing algorithm based on higher-order statistics and energy detector is introduced to minimize the sensing time, and maximize the probability of detection, particularly for low SNR applications. The method first uses a filter bank to extract multiple narrow-band channels from the received wideband signal then compute the normalized power values using the energy detector in each time slot of sensing for all the sub-bands. These normalized power values are used as weights for the third-order cumulants estimated in those sub-bands. Based on these cumulants, a binary hypothesis testing problem is formulated and a low-complexity sequential probability ratio test (SPRT) is developed. At the constant false alarm rate of 0.1, computer simulation result is showing 37% of improvement in the detection probability of signals at a low SNR of -20 dB.
机译：在认知无线电（CR）中，频谱传感技术旨在允许认知用户在不中断活动主用户的情况下有效地回收频谱资源。已经提出了几种探测器，包括能量探测器，匹配的过滤器和卷曲探测器，但大多数这些都是过于复杂的，或者无法在低信噪比（SNR）环境中有效地执行，作为盲检测器。本文介绍了一种基于高阶统计和能量检测器的部分两阶段顺序频谱感测算法，以最小化感测时间，并最大化检测的概率，特别是对于低SNR应用。该方法首先使用滤波器组从接收的宽带信号中提取多个窄带信道，然后在对所有子带感测的每个时隙中使用能量检测器来计算归一化功率值。这些归一化功率值用作这些子带中估计的三阶累积物的权重。基于这些累积剂，制定了二元假设检测问题，并且开发了低复杂性连续概率比测试（SPRT）。在恒定误报率为0.1时，计算机仿真结果显示在-20 dB的低SNR处的信号检测概率的37％的提高。

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