NDLI: Feasibly efficient cooperative spectrum sensing scheme based on Cholesky decomposition of the correlation matrix

Content Provider	IET Digital Library
Author	Li, Zan Zhou, Fuhui Si, Jiangbo Qi, Peihan Guan, Lei
Abstract	Cooperative spectrum sensing, proposed to improve the performance of spectrum sensing in cognitive radio systems where there are multiple secondary users who can cooperatively detect the presence of one primary user, is receiving significant attention. However, few cooperative sensing algorithms take the correlation among the received primary user signals into account. A feasibly efficient cooperative spectrum sensing scheme based on Cholesky decomposition of the correlation matrix of the received signals is proposed. The ratio of the maximum eigenvalue to the minimum eigenvalue of the matrix obtained by Cholesky decomposition is used to construct the test statistic. Analytical approximations for the false alarm probability and decision threshold are derived using a moment matching method. The new scheme is in the category of blind cooperative spectrum sensing schemes requiring neither information about the primary user signal nor the channel nor the noise power. The new scheme can work better than the existing eigenvalue-based cooperative spectrum sensing methods in some conditions, and it has lower complexity.
Starting Page	1003
Ending Page	1011
Page Count	9
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 9, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0654
Journal	IET Communications
Publisher Date	2016-06-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analytical Approximation Blind Cooperative Spectrum Sensing Scheme Cognitive Radio Cognitive Radio System Performance Improvement Cooperative Communication Correlation Matrix Cholesky Decomposition Decision Threshold Eigen Values And Eigen Function False Alarm Probability Linear Algebra Matrix Decomposition Maximum Eigenvalue to Minimum Eigenvalue Ratio Moment Matching Method Multiple Secondary User Noise Power Numerical Analysis Primary User Primary User Signal Probability Radio Link And Equipment Radio Spectrum Management Signal Detection Statistics Test Statistic Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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