access icon free Feasibly efficient cooperative spectrum sensing scheme based on Cholesky decomposition of the correlation matrix

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.

Inspec keywords: cognitive radio; probability; signal detection; wireless channels; radio spectrum management; matrix decomposition; eigenvalues and eigenfunctions; cooperative communication

Other keywords: primary user signal; multiple secondary users; moment matching method; blind cooperative spectrum sensing scheme; false alarm probability; noise power; maximum eigenvalue to minimum eigenvalue ratio; test statistic; decision threshold; wireless channel; analytical approximation; cognitive radio system performance improvement; primary user; correlation matrix Cholesky decomposition

Subjects: Signal detection; Radio links and equipment; Linear algebra (numerical analysis); Other topics in statistics

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2015.0654
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