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P-GLRT Algorithm for Cooperative Spectrum Sensing

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Abstract

Spectrum sensing is a crucial task for a cognitive radio system. It enables cognitive radio to identify vacant frequency bands and to opportunistically access spectrum. Thus, reliable detection of primary users is important since the cognitive radio (CR) operating as a secondary system is not allowed to cause harmful interference to PUs. In this paper, an effective generalized likelihood ratio test (GLRT) based on power method (named as P-GLRT algorithm) is proposed for cooperative spectrum sensing. Compared with the previous works, the presented method offers a number of advantages over other recently proposed algorithms. Firstly, it can solve the problem of uncertain noise and lower signal-to-noise ratio. Secondly, it requires no prior knowledge of the transmitted signal, the wireless channel gains from the primary transmitter to the CR receiver, and the noise variance. Finally, the proposed approach makes use of power method to obtain the maximum eigenvalue and the corresponding eigenvector for maximum likelihood estimates of unknown parameters, it avoids the eigenvalue decomposition processing. Simulation results show the proposed algorithm has better detection performance than other relevant methods. Meanwhile, some performance analysis of the proposed algorithm via simulations are presented.

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Acknowledgments

This work has been supported by the Program for New Century Excellent Talents in University (NCET-13-0105), and by the Support Program for Hundreds of Outstanding Innovative Talents in Higher Education Institutions of Hebei Province, under Grant No. BR2-259, and by the Fundamental Research Funds for the Central Universities under Grant No. N120423002, and by the Program for Liaoning Excellent Talents in University (LJQ2012022), and by Directive Plan of Science Research from the Bureau of Education of Hebei Province, China, under Grant No. Z2011129, and by the National Natural Science Foundation of China under Grant No. 60904035, and by the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20130042110003). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have significantly improved the presentation of this paper.

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Authors and Affiliations

  1. Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China

    Fulai Liu, Ruiyan Du, Junping Guo & Shouming Guo

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  1. Fulai Liu
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  2. Ruiyan Du
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  3. Junping Guo
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  4. Shouming Guo
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Correspondence to Fulai Liu.

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Liu, F., Du, R., Guo, J. et al. P-GLRT Algorithm for Cooperative Spectrum Sensing. Wireless Pers Commun 81, 1079–1089 (2015). https://doi.org/10.1007/s11277-014-2172-6

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  • DOI: https://doi.org/10.1007/s11277-014-2172-6

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