Improved detection of magnetic signals by a MEMS sensor using stochastic resonance

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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.

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Herrera-May, A. L., Tapia, J. A., Domínguez-Nicolás, S. M., Juarez-Aguirre, R., Gutierrez-D, E. A., Flores, A., … Manjarrez, E. (2014). Improved detection of magnetic signals by a MEMS sensor using stochastic resonance. PLoS ONE, 9(10). https://doi.org/10.1371/journal.pone.0109534

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