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Type: Journal article
Title: Exploiting vibrational resonance in weak-signal detection
Author: Ren, Y.
Pan, Y.
Duan, F.
Chapeau-Blondeau, F.
Abbott, D.
Citation: Phyiscal Review E, 2017; 96(2):022141
Publisher: American Physical Society
Issue Date: 2017
ISSN: 2470-0045
Statement of
Yuhao Ren, Yan Pan, Fabing Duan, François Chapeau-Blondeau and Derek Abbott
Abstract: In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.
Rights: ©2017 American Physical Society
RMID: 0030075428
DOI: 10.1103/PhysRevE.96.022141
Appears in Collections:Electrical and Electronic Engineering publications

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