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International Conference on Communications and Networking in China

ChinaCom 2016: Communications and Networking pp 165–174Cite as

Multiantenna Based Blind Spectrum Sensing via Nonparametric Test

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Abstract

Multiantenna based spectrum sensing algorithms are widely used in cognitive radio networks on account of improving the system reliability. Utilizing the difference between the received signal and the noise statistical covariances, two kinds of novel spectrum sensing algorithms, binomial distribution based detection (BD) and wilcoxon signed rank test based detection (WSD), are proposed based on the sample covariance matrix calculated from a limited number of received signal samples. BD and WSD algorithms do not need any priori information of the primary signal and the noise. In addition, their thresholds are found via the statistical theory. Compared with energy detection (ED), maximum-minimum eigenvalue (MME) and covariance absolute value (CAV), those two algorithms can obtain better performance. Finally, the performance of the proposal is verified by simulations.

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Acknowledgement

This work was supported by Natural Science Foundation of China (61271276, 61301091), and Natural Science Foundation of Shaanxi Province (2014JM8299).

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Authors and Affiliations

  1. National Engineering Laboratory for Wireless Security, Xi’an University of Posts and Telecommunications, Xi’an, China

    Guangyue Lu & Cai Xu

  2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

    Yinghui Ye

Authors
  1. Guangyue Lu
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  2. Cai Xu
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  3. Yinghui Ye
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Corresponding author

Correspondence to Cai Xu .

Editor information

Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lu, G., Xu, C., Ye, Y. (2018). Multiantenna Based Blind Spectrum Sensing via Nonparametric Test. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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