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Proceedings Paper

Spectrum sensing statistics based-GLRT algorithm in cognitive radio
Author(s): Yiming Zhou; Li Zhang; Xu Li
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Paper Abstract

In Cognitive Radio, because secondary users are completely unknown to the primary users, a statistics algorithm about spectrum sensing is constructed in the paper, which overcomes the shortcoming that the characteristics of the primary users signal and channel are completely unknown to secondary users. The statistic, based on generalized likelihood ratio test (GLRT), is only calculated by means of the received signal. The unknown parameters of the channel are also obtained based on maximum likelihood estimates (MLE) by making use of the sampling signal covariance matrix. Theoretical analysis shows that we can compute the detection probability of primary users with the covariance matrix eigenvalue and the simulation proves that the statistics has the characteristics of the simple calculation and practicability.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841U (13 March 2013); doi: 10.1117/12.2014196
Show Author Affiliations
Yiming Zhou, Beijing Institute of Petrochemical Technology (China)
Li Zhang, Hunan Agricultural Univ. (China)
Xu Li, Hunan Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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