A Blind Spectrum-Sensing Method Based on Bartlett Decomposition

被引：0

作者：

Ding, Qi ^{[1
]}

Zou, Weixia ^{[1
]}

Zhou, Zheng ^{[1
]}

Li, Bin ^{[1
]}

Ye, Yabin ^{[2
]}

机构：

[1] Beijing Univ Posts & Telecommun, Wireless Network Lab, Key Lab Universal Wireless Commun, MOE, Beijing 100088, Peoples R China

[2] Huawei Technol Duesseldorf GmbH, European Res Ctr, Dusseldorf, Germany

来源：

2011 6TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM) | 2011年

关键词：

Cognitive radio; Spectrum sensing; Sample covariance matrix; Bartlett decomposition; EIGENVALUE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Spectrum sensing is a key element of Cognitive Radio communications. In this paper, a novel method is proposed based on the Bartlett decomposition of statistical covariance matrix. The proposed method exhibits good performance and robustness against noise uncertainty and without having to know any information of the primary signal and the transmission channel. Compared to other methods based on the statistical covariance matrix, the threshold of the proposed method is accurately calculated without assuming that the number of the signal samples is large enough. As a result, the performance of our method is superior to the others. Simulations based on wireless microphone signals are presented to verify our method.

引用

页码：639 / 644

页数：6

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