Journal of Jishou University(Natural Sciences Edition) ›› 2023, Vol. 44 ›› Issue (6): 14-19.DOI: 10.13438/j.cnki.jdzk.2023.06.003

• Communication Technology • Previous Articles     Next Articles

Spectrum Sensing Algorithm Based on Joint Detection of Skewness and Kurtosis

TAN Zhewen,LEI Kejun,YANG Xi,WANG Xuming,TAN Yuhao   

  1. (School of Communication and Electronic Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2023-11-25 Published:2023-12-19

Abstract: By normalizing the sample skewness and kurtosis of the received signal,a spectrum sensing algorithm based on joint detection of skewness and kurtosis (joint detection) is proposed.Utilizing the probability density function of the chi-square distribution,the theoretical false alarm performance of the algorithm is analyzed under non-asymptotic conditions,and the corresponding theoretical decision threshold is derived.In the simulation experiments,joint detection can still guarantee reliable detection results with small number of samples,and shows better detection performance than the classical Jarque-Bera (JB) spectrum sensing algorithm.

Key words: cognitive radio, spectrum sensing, sample skewness, sample kurtosis, joint detection

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