Title :
Optimal stochastic resonance under low signal-to-noise ratio circumstances
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fDate :
May 30 2010-June 2 2010
Abstract :
An optimal stochastic resonance approach is proposed in this paper to overcome the defects of traditional stochastic resonance system in real applications. By introducing the stochastic resonance noise with optimal variance when the driving parameter is selected within the region which ensures the maximal output signal-to-noise ratio (SNR), the improvement of SNR gain can be guaranteed. Simulation results show that the SNR gain can reach 7~8.5dB even when the SNR of the original signal is lower than 0dB.
Keywords :
signal detection; SNR gain; resonance noise; signal-to-noise ratio; AWGN; Additive white noise; Analytical models; Computational modeling; Frequency; Gaussian noise; Helium; Object detection; Signal to noise ratio; Stochastic resonance;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5536942
