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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Qin Deng
Guangdong University of Technology
Computer Science & IT

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International Telecommunication Union-Radiocommunication Sector (ITU-R) P.837-6 and P.837-7 performance to estimate Indonesian rainfall Yonghua Wang; Pin Wan; Qin Deng; Yuli Fu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i2.1431

Abstract

The cognitive radio technology can improve the efficiency of spectrum utilization byproviding dynamic spectrum access to unoccupied frequency bands. 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. Because the stochastic resonance system can improve the energy detection system output SNR .To improve the spectrum sensing performance of cognitive radio networks in the low SNR environment, the stochastic resonance of the single-mode nonlinear optical system is applied to spectrum sensing based on the energy detection method in this paper. The simulation results show that in the low SNR environment, the energy detection based on stochastic resonance of the single-mode nonlinear optical system has better performance than traditional energy detection.
Spectrum Sensing Based on Monostable Stochastic Resonance in Cognitive Radio Networks Yonghua Wang; Pin Wan; Qin Deng; Yuli Fu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i2.1429

Abstract

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.
High SNR Gain by Stochastic Resonance in a Tristable System Pin Wan; Yi-Ju Zhan; Hui Zheng; Luo-Ya Zeng; Qin Deng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

We report that the signal-to-noise ratio (SNR) can be improved by the stochastic resonance (SR) in a tristable system. The system is driven by Gaussian white noise and a sinusoidal signal, and studied by using the second-order Runge-Kutta method. We find that the SNR gain exhibits the stochastic resonance behavior, and greatly exceeds unity on some occasions. This result is the latest development of the tristable stochastic resonance, and has potential applications in the signal detection, processing and communications.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3712
Co-Authors Hui Zheng Luo-Ya Zeng Pin Wan Pin Wan Yi-Ju Zhan Yonghua Wang Yuli Fu Yuli Fu