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Improved detection of magnetic signals by a MEMS sensor using stochastic resonance
Agustín L Herrera-May1, Jesus A Tapia2, Saúl M Domínguez-Nicolás3
1Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río, Veracruz, México.
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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