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author:

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

Indexed by:

EI Scopus

Abstract:

Spectrum Sensing is the key technology of Cognitive Radio (CR). This paper proposes a new cyclostationarity based spectrum sensing method with uncertain arrivals of primary users. The method first divides the spectrum sensing period of a SU into several intervals according to the reciprocal of cyclic frequency, then computes the test statistic from these intervals based on Likelihood Ratio Test (LRT), calculates the threshold based on Newman-Pearson (N-P) criteria and finally makes the decision. Simulation results demonstrates the validity and the superiority of the proposed method when the PU comes uncertainly, compared with the conventional cyclostationarity based spectrum sensing method. © 2017 IEEE.

Keyword:

Cognitive radio Statistical tests

Community:

  • [ 1 ] [Jun, Wang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Fengying, Huang]Tan Kah Kee College, Xiamen University, Xiamen; 363105, China
  • [ 3 ] [Zhe, Chen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhenyi, Song]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Yang, Xu]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Year: 2017

Volume: 2017-October

Page: 837-841

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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