Cyclostationary spectrum sensing algorithm based on eigenvalues matrix

被引：0

作者：

Zhao, Chun-Hui ^{[1
]}

Ma, Shuang ^{[1
]}

Cheng, Bao-Zhi ^{[1
]}

机构：

[1] College of Information and Communications Engineering, Harbin Engineering University

来源：

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering | 2012年 / 29卷 / 02期

关键词：

Cognitive radio; Communication technology; Cyclostationary detection; Eigenvalues matrix; Spectrum sensing;

D O I：

10.3724/SP.J.1249.2012.02107

中图分类号：

学科分类号：

摘要：

There was a certain amount of loss in the correlation of cyclic autocorrelation function vector with cyclostationary spectrum sensing algorithm when the decision statistics were calculated. The calculation method of cyclic statistics based on eigenvalues matrix was proposed, and therefore, the covariance matrix was replaced by its eigenvalues matrix. The correlation information of the cyclic autocorrelation function was preserved. In addition, the computational complexity was reduced. Simulation results show that the detection performance of the algorithm is better than that of the classical cyclostationary detector at low SNR.

引用

页码：107 / 112

页数：5

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