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

Author

Listed:
  • 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.

Suggested Citation

  • Agustín L Herrera-May & Jesus A Tapia & Saúl M Domínguez-Nicolás & Raul Juarez-Aguirre & Edmundo A Gutierrez-D & Amira Flores & Eduard Figueras & Elias Manjarrez, 2014. "Improved Detection of Magnetic Signals by a MEMS Sensor Using Stochastic Resonance," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-8, October.
    • Handle: RePEc:plo:pone00:0109534
    DOI: 10.1371/journal.pone.0109534
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