Exploiting vibrational resonance in weak-signal detection.
Identifieur interne : 000C55 ( PubMed/Checkpoint ); précédent : 000C54; suivant : 000C56Exploiting vibrational resonance in weak-signal detection.
Auteurs : Yuhao Ren [République populaire de Chine] ; Yan Pan [République populaire de Chine] ; Fabing Duan [République populaire de Chine] ; François Chapeau-Blondeau [France] ; Derek Abbott [Australie]Source :
- Physical review. E [ 2470-0053 ] ; 2017.
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.
DOI: 10.1103/PhysRevE.96.022141
PubMed: 28950458
Affiliations:
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<front><div type="abstract" xml:lang="en">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.</div>
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