DET cooperative spectrum sensing algorithm based on random matrix theory

被引：0
|
作者：
Cao K.-T. [1 ]
Yang Z. [1 ]
机构：
[1] Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 01期
关键词：
Cooperative spectrum sensing; Maximum eigenvalue; Random matrix theory; Sample covariance matrix;
D O I：
10.3724/SP.J.1146.2009.00517
中图分类号：
学科分类号：
摘要：
In this paper, the DET (Double Eigenvalue Threshold) cooperative spectrum sensing algorithm is proposed through analyzing maximum eigenvalue distribution of the covariance matrix of the received signals by means of random matrix theory. DET cooperative sensing algorithm needs neither the prior acknowledge of the signal transmitted from primary user, nor the noise power in advance. Simulation results show that the proposed scheme can gain higher sensing performance with a few of secondary users and is more robust to the noise uncertainty compared with the conventional sensing schemes.
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收藏
页码：129 / 134
页数：5
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