Spectrum Sensing Based on Monostable Stochastic Resonance in Cognitive Radio Networks
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. Thespectrum 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.
Author: Yonghua Wang
Journal Code: jptkomputergg150082
