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Improved Detection of Magnetic Signals by a MEMS Sensor Using Stochastic Resonance
Authors:Agustín L. Herrera-May  Jesus A. Tapia  Saúl M. Domínguez-Nicolás  Raul Juarez-Aguirre  Edmundo A. Gutierrez-D  Amira Flores  Eduard Figueras  Elias Manjarrez
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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