Improved Detection of Magnetic Signals by a MEMS Sensor Using Stochastic Resonance

Agustín L Herrera-May, Jesus A Tapia, Saúl M Domínguez-Nicolás, Raul Juarez-Aguirre, Edmundo A Gutierrez-D, Amira Flores, Eduard Figueras and Elias Manjarrez

PLOS ONE, 2014, vol. 9, issue 10, 1-8

Abstract: We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise applied on the vicinity of the MEMS sensor can improve the detection of subthreshold magnetic fields. We examined the increase in the signal-to-noise ratio (SNR) of such detected magnetic fields as a function of the magnetic noise intensity. The data disclosed an inverted U-like graph between the SNR and the applied magnetic noise. This finding shows that the application of an intermediate level of noise in the environment of a MEMS magnetic field sensor improves its detection capability of subthreshold signals via the stochastic resonance phenomenon.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0109534

DOI: 10.1371/journal.pone.0109534

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