An Improved Eigenvalue-Based Algorithm for Cooperative Spectrum Sensing

被引：0
|
作者：
Yang, Miao [1 ]
An, Jianping [1 ]
Bu, Xiangyuan [1 ]
Sun, Lei [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
signal detection; cooperative spectrum sensing; random matrix theory; eigenvalues;
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 one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.
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收藏
页数：4
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