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ADRIANO FAGIOLINI

Characterization of MEMS accelerometer self-noise by means of PSD and Allan Variance analysis

  • Autori: D'Alessandro, A.; Vitale, G.; Scudero, S.; D'Anna, R.; Costanza, A.; Fagiolini, A.; Greco, L.
  • Anno di pubblicazione: 2017
  • Tipologia: Proceedings (TIPOLOGIA NON ATTIVA)

Abstract

In this paper, we have studied the sources of error of a low-cost 3-axis MEMS accelerometer by means of Power Spectral Density and Allan Variance techniques. These techniques were applied to the signals acquired from ten identical devices to characterize the variability of the sensor produced by the same manufacturer. Our analysis showed as identically produced accelerometer have somehow variable behavior in particular at low frequency. It is therefore of paramount importance before their use in Inertial Navigation or Earthquakes Monitoring System, a complete characterization of each single sensors.

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