Spectrum sensing based on monostable stochastic resonance in cognitive radio networks

被引：0

作者：

Wang, Yonghua ^{[1
]}

Wan, Pin ^{[2
]}

Deng, Qin ^{[3
]}

Fu, Yuli ^{[4
]}

机构：

[1] School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China

[2] School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China

[3] Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, Hubei, China

[4] National Engineering Research Center for Mobile Communication, Guangzhou, Guangdong, China

来源：

Telkomnika (Telecommunication Computing Electronics and Control) | 2015年 / 13卷 / 02期

关键词：

Cognitive radio network - Cognitive radio technologies - Dynamic spectrum access - Energy detection - False alarm probability - Spectrum sensing - Spectrum utilization - Stochastic resonances;

D O I：

10.12928/TELKOMNIKA.v13i2.1429

中图分类号：

学科分类号：

摘要：

The cognitive radio technology can provide dynamic spectrum access and improve the efficiency of spectrum utilization. Spectrum sensing is one of the key technologies of cognitive radio networks. The spectrum sensing performance of cognitive radio networks will be greatly reduced in the low SNR environment, especially when using energy detection. Due to the monostable stochastic resonance system can improve the energy detection system output SNR, a monostable stochastic resonanceis applied to spectrum sensing based on the energy detection method of cognitive radio networks in this paper. The simulation results show that in the low SNR environment, when the false alarm probability is constant, the proposed spectrum sensing based on monostable stochastic resonance has better performance than traditional energy detection.

引用

页码：487 / 493

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