Title :
Fractional stochastic resonance of multi-frequency weak periodic signals in alpha-stable noisy environment
Author :
Zheng Yongjun ; Wang Fei ; Li He
Author_Institution :
Coll. of Metrol. & Meas. Eng., China Jiliang Univ., Hangzhou, China
Abstract :
This paper studies the stochastic resonance (SR) phenomenon generated by the multi-frequency weak periodic signals on the bistable fractional system in α - stable noisy environment. The influence to the output signal are analyzed by the structural parameters a, b of bistable system, the intensity D of α - stable noise as well as the fractional order p individually while the other parameters kept unchanged. The numerical simulation results show that the fractional order p can enhance the SR by analyzing the power spectrum of output signal. The characteristic index Average Signal-to-noise ratio (SNR) Gain is used to reflect the influence to the SR by changing the structural parameters a, b of bistable system and the intensity D of α - stable noise. Both curves are non-monotonic when one of the parameters is changed, it increases then decreases.
Keywords :
resonance; signal detection; stochastic processes; SNR gain; alpha-stable noisy environment; bistable fractional system; characteristic index average signal-to-noise ratio gain; multifrequency weak periodic signals; numerical simulation; output signal; power spectrum; stochastic resonance phenomenon; structural parameters; Frequency-domain analysis; Noise measurement; Nonlinear systems; Signal to noise ratio; Structural engineering; Time-domain analysis; α - stable noise; fractional order stochastic resonance; multi-frequency weak periodic signals;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7014984