Spectrum Sensing Based on Cyclic Autocorrelation for Cognitive Radio

被引：0

作者：

Ou, Yang ^{[1
]}

Wang, Yiming ^{[1
]}

Ye, Dan ^{[1
]}

机构：

[1] Soochow Univ, Dept Elect & Informat Engn, Suzhou, Peoples R China

来源：

2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年

关键词：

spectrum sensing; cyclostationary detection; cyclic autocorrelation; cognitive radio; SIGNALS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Spectrum sensing is the very task upon which the entire operation of cognitive radio rests. This paper introduces a new spectrum sensing method for cognitive radio systems based on cyclic autocorrelation. This method takes advantage of the amplitude of the cyclic autocorrelation to differentiate the noise from the primary users and detect the presence of the primary users. The method realizes the weak-signal detection in the given spectrum. Comparing with spectrum correlation method, this method has more bigger amplitude. Theoretical analysis for the algorithms is discussed. Computer simulation results are presented to verify the method.

引用

页数：4

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