Telecommunications Science ›› 2020, Vol. 36 ›› Issue (12): 33-40.doi: 10.11959/j.issn.1000-0801.2020248

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Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance

Shunlan LIU,Yide XIAO,Jianrong BAO   

  1. School of Electronic Information,Hangzhou Dianzi University,Hangzhou 310018,China
  • Revised:2020-08-05 Online:2020-12-20 Published:2020-12-23

Abstract:

In view of the poor performance of the existing spectrum sensing algorithm in the low signal-noise ratio (SNR) environment and the limitations of traditional stochastic resonance (SR) detection methods for weak signals in practical applications,a dual threshold cooperative spectrum sensing algorithm based on stochastic resonance (DCSSR) by setting the optimal threshold was proposed and the optimal number of cooperative users was calculated.At last,the performance of the proposed algorithm was analyzed.This algorithm further improves the detection performance of the spectrum sensing algorithm under low signal-to-noise ratio by passing the statistical data located in the double-threshold uncertain region through a stochastic resonance system.Simulation results show that the detection performance of DCSSR algorithm is improved compared with traditional single threshold energy cooperation algorithm,double threshold energy cooperation algorithm and single threshold stochastic resonance cooperation algorithm.When the SNR is -20 dB,the proposed DCSSR algorithm improves the detection probability by 80% compared with the traditional single threshold energy detection cooperation algorithm.

Key words: stochastic resonance, spectrum sensing, dual threshold, low signal to noise ratio

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