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Near-Optimum Nonparametric Combination Scheme for Cyclostationarity-Based Spectrum-Sensing Method

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Abstract

Spectrum sensing is the key step of cognitive radio. Cyclostationarity, which mostly comes from carrier frequency, modulation, symbol or chip rate and channel coding, is often considered as a feature to extract man-made signal from the natural noise in spectrum sensing. This paper proposes a novel cyclostationarity-based combination scheme named near-optimum nonparametric combination scheme (NONCS). NONCS is nonparametric so that it has nothing to do with noise power, channel gain and data distribution. NONCS is almost based on the extremum seeking theory so that it is near optimum. Simulation experiments are provided to show the validity and the superiority of the proposed NONCS method.

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Acknowledgments

This work was supported in part by the Natural Science Foundation of China under Grant No. 61301096, in part by the Natural Science Foundation of China under Grant No. 61304260 and in part by the fund of Cloud Computing and Big Data for Agriculture and Forestry under Grant No. FAFU-612014063.

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Authors and Affiliations

  1. Fuzhou University, Fuzhou, 350108, Fujian Province, China

    Wang Jun, Huang Jiwei & Lin Ruiquan

  2. Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian Province, China

    Chen Riqing

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  1. Wang Jun
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  2. Huang Jiwei
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  3. Chen Riqing
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  4. Lin Ruiquan
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Correspondence to Chen Riqing.

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Jun, W., Jiwei, H., Riqing, C. et al. Near-Optimum Nonparametric Combination Scheme for Cyclostationarity-Based Spectrum-Sensing Method. Circuits Syst Signal Process 36, 867–878 (2017). https://doi.org/10.1007/s00034-016-0321-8

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  • DOI: https://doi.org/10.1007/s00034-016-0321-8

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