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author:

Wang, Jun (Wang, Jun.) [1] (Scholars:王俊) | Yin, Jiajia (Yin, Jiajia.) [2] | Huang, Fengying (Huang, Fengying.) [3] | Chen, Zhe (Chen, Zhe.) [4] | Xu, Yang (Xu, Yang.) [5]

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EI Scopus PKU CSCD

Abstract:

This paper proposes a new OFDM symbol duration based cyclostationary spectrum sensing method. The method first estimates the cyclic autocorrelation function from every received OFDM symbol during its symbol period, then constructs the test statistic and the threshold by using multivariate statistical analysis, and finally gets the decision result by comparing the test statistic with the threshold. The method is nonparametric so that it is immune from noise uncertainty. Simulation results show that the method can significantly reduce the complexity at the cost of a little performance loss, compared with conventional cyclostationary spectrum sensing method. Moreover, this paper further proposes a multiple antenna based nonparametric linear weighted combination scheme. Simulation results also show that the performance of the proposed combination scheme is almost the same as that of conventional cyclostationary spectrum sensing method while the proposed combination scheme has the advantage of complexity by optimizing the nonparametric weights reasonably. © 2018, Science Press. All right reserved.

Keyword:

Antennas Cognitive radio Multivariant analysis Orthogonal frequency division multiplexing Statistical tests Statistics

Community:

  • [ 1 ] [Wang, Jun]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Yin, Jiajia]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Huang, Fengying]Tan Kah Kee College, Xiamen University, Zhangzhou; 363105, China
  • [ 4 ] [Chen, Zhe]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Xu, Yang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [huang, fengying]tan kah kee college, xiamen university, zhangzhou; 363105, china

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Source :

Journal of Electronics and Information Technology

ISSN: 1009-5896

CN: 11-4494/TN

Year: 2018

Issue: 2

Volume: 40

Page: 408-415

0 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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