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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Eigenvalue based double threshold spectrum sensing under noise uncertainty for cognitive radio
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Eigenvalue based double threshold spectrum sensing under noise uncertainty for cognitive radio

机译：噪声不确定性下基于特征值的双阈值频谱感知无线电

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摘要

Spectrum sensing is a fundamental problem in cognitive radio. The conventional energy based channel sensing method is highly vulnerable under low SNR and noise uncertainty conditions. The use of double threshold usually improves the detection performance, however, under noise uncertainty its performance deteriorates. Another method based on eigenvalues of sample covariance matrix has been studied in literature with single threshold. In this paper an eigenvalue based spectrum sensing technique with double threshold is proposed. The random matrix theory (RMT) is used to quantify the ratio of eigenvalues and derives the expression for the two thresholds required for reliable spectrum sensing. The proposed scheme overcomes the noise uncertainty and low SNR problems and out performs the conventional energy based detection method. The simulation results show that the proposed double threshold method based on eigenvalues exhibits better detection performance compared to conventional energy detection methods in terms of detection probability and number of samples required for reliable sensing. (C) 2016 Elsevier GmbH. All rights reserved.
机译：频谱感测是认知无线电中的一个基本问题。传统的基于能量的信道感测方法在低SNR和噪声不确定性条件下非常脆弱。使用双阈值通常可以提高检测性能，但是，在噪声不确定的情况下，其性能会下降。在单阈值的文献中已经研究了另一种基于样本协方差矩阵特征值的方法。本文提出了一种基于特征值的双阈值频谱感知技术。随机矩阵理论（RMT）用于量化特征值的比率，并得出可靠频谱感测所需的两个阈值的表达式。所提出的方案克服了噪声不确定性和低SNR问题，并且执行了常规的基于能量的检测方法。仿真结果表明，与传统的能量检测方法相比，基于特征值的双阈值检测方法在检测概率和可靠检测所需样本数量方面具有更好的检测性能。 （C）2016 Elsevier GmbH。版权所有。

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