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author:

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

Indexed by:

CPCI-S

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.

Keyword:

cognitive radio cyclostationarity likelihood ratio test newman-pearson criteria spectrum sensing

Community:

  • [ 1 ] [Wang Jun]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Chen Zhe]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Song Zhenyi]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China
  • [ 4 ] [Xu Yang]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China
  • [ 5 ] [Huang Fengying]Xiamen Univ, Tan Kah Kee Coll, Xiamen 363105, Peoples R China

Reprint 's Address:

  • Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China

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Source :

2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017)

Year: 2017

Page: 837-841

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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