DocumentCode :
1722236
Title :
Exact performance analysis of blindly combined energy detection for spectrum sensing
Author :
Kortun, Ayse ; Ratnarajah, Tharm ; Sellathurai, Mathini
Author_Institution :
Inst. of Electron., Commun. & Inf. Technol. (ECIT), Queen´´s Univ. Belfast, Belfast, UK
fYear :
2010
Firstpage :
560
Lastpage :
563
Abstract :
In this paper, we propose exact decision thresholds for “blindly combined energy detection (BCED)” in the case of multiple receiver collaborative spectrum sensing. As opposed to the decisions thresholds estimation based on an asymptotic analysis in the sense of large samples and/or large collaborative antennas presented in the literature, the proposed mathematical formulation can be used to calculate exact thresholds for finite number of samples and collaborative antennas. The proposed formulation is based on our recent progress in the exact eigenvalue distributions of complex Wishart matrices with finite sizes. Moreover, the proposed thresholds valid for both correlated and uncorrelated Gaussian noise cases. Finally, we show that the probability of detection performance with the proposed exact decision thresholds performs better than the performance achieved with the decision thresholds calculated based on the asymptotic analysis, thus validate the importance of this work.
Keywords :
Gaussian noise; antennas; cognitive radio; eigenvalues and eigenfunctions; matrix algebra; BCED; Gaussian noise; Wishart matrices; asymptotic analysis; blind combined energy detection; collaborative antennas; decision threshold estimation; eigenvalue distributions; multiple receiver collaborative spectrum sensing; Cognitive radio; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian noise; Receiving antennas; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
Conference_Location :
Instanbul
Print_ISBN :
978-1-4244-8017-3
Type :
conf
DOI :
10.1109/PIMRC.2010.5671867
Filename :
5671867
Link To Document :
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