Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels

Yiming ZHOU; Yingshun LI; Xiaoping TIAN

doi:10.11999/JEIT190065

Volume 42 Issue 5

Jun. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(5): 1231-1236

Yiming ZHOU, Yingshun LI, Xiaoping TIAN. Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065

Citation:

Yiming ZHOU, Yingshun LI, Xiaoping TIAN. Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065

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Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels

doi: 10.11999/JEIT190065

Information Engineering College, Beijing Institute of Petrochemical Technology, Beijing 102600, China

Received Date: 2019-01-24
Rev Recd Date: 2019-09-05

Available Online: 2020-01-20

Publish Date: 2020-06-04

Abstract

Abstract

In order to improve the correlation between signal samplings and reduce the influence of noise on sensing performance, a spectrum sensing algorithm based on signal envelope autocorrelation matrix is proposed in the paper. Firstly, the sampling signals are intercepted at equal intervals, the signal autocorrelations are calculated by means of the adjacent interval samples, and an approximate autocorrelation matrix is constructed. Secondly, the statistic is constructed according to the properties of the sub-diagonal elements of the matrix. The detection probability distribution function and the false alarm probability distribution function of the statistic are calculated respectively. The detection performances of the spectrum sensing algorithm are analyzed. The algorithm optimizes the calculation of signal correlation and reduces the impact of noise on detection performance. Finally, the effects of different parameters on detection probability and false alarm probability are verified by simulation, and some measures are proposed to improve detection performance.
- Spectrum sensing,
- Rayleigh channels,
- Signal envelope,
- Correlation matrix

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References(16)

References

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