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A Energy-Polarization Based Detection for Cognitive Radios

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Abstract

In this paper, we consider the problem of spectrum sensing in cognitive radios by exploring Stokes sub-vector, which fully represents energy and polarization information of signal, captured by dual polarized antennas. We first find the fact that the correlation between Stokes variables (i.e., the elements of Stokes sub-vector) of the mixture of primary signal and noise are different from that of noise’s with high probability. Based on this, a new energy-polarization based detection is proposed. The false alarm probability and the detection threshold for the proposed detector are available in closed form. Our simulations show that the proposed method demonstrates a significant performance improvement with respect to existing polarization based methods due to the exploitation of both energy and polarization information and less affectedness by noise power uncertainty.

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Acknowledgments

This work was supported in part by the Chinese National Nature Science Foundation under Grant 61271177 and 60902047, the Fundamental Research Funds for the Central University under Grant 2013RC0108, and Beijing Higher Education Young Elite Teacher Project under Grant 96254006.

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Authors and Affiliations

  1. Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Caili Guo

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  1. Caili Guo
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Correspondence to Caili Guo.

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Guo, C. A Energy-Polarization Based Detection for Cognitive Radios. Wireless Pers Commun 81, 631–648 (2015). https://doi.org/10.1007/s11277-014-2149-5

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  • DOI: https://doi.org/10.1007/s11277-014-2149-5

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