Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance
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...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-12-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020248/ |
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| _version_ | 1841528946996281344 |
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| author | Shunlan LIU Yide XIAO Jianrong BAO |
| author_facet | Shunlan LIU Yide XIAO Jianrong BAO |
| author_sort | Shunlan LIU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-81ff88a03702412b99eb5df92bfcb180 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-81ff88a03702412b99eb5df92bfcb1802025-01-15T03:32:14ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-12-0136334059813519Dual threshold cooperative spectrum sensing algorithm based on stochastic resonanceShunlan LIUYide XIAOJianrong BAOIn 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020248/stochastic resonancespectrum sensingdual thresholdlow signal to noise ratio |
| spellingShingle | Shunlan LIU Yide XIAO Jianrong BAO Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance Dianxin kexue stochastic resonance spectrum sensing dual threshold low signal to noise ratio |
| title | Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| title_full | Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| title_fullStr | Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| title_full_unstemmed | Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| title_short | Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| title_sort | dual threshold cooperative spectrum sensing algorithm based on stochastic resonance |
| topic | stochastic resonance spectrum sensing dual threshold low signal to noise ratio |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020248/ |
| work_keys_str_mv | AT shunlanliu dualthresholdcooperativespectrumsensingalgorithmbasedonstochasticresonance AT yidexiao dualthresholdcooperativespectrumsensingalgorithmbasedonstochasticresonance AT jianrongbao dualthresholdcooperativespectrumsensingalgorithmbasedonstochasticresonance |