• DocumentCode
    10970
  • Title

    Improving Performance of GMR Sensors

  • Author

    Bernieri, Andrea ; Betta, Giovanni ; Ferrigno, L. ; Laracca, Marco

  • Author_Institution
    DIEI, Univ. of Cassino & Southern Lazio, Cassino, Italy
  • Volume
    13
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4513
  • Lastpage
    4521
  • Abstract
    Giant magnetoresistance (GMR) sensors are assumed as an important role in magnetic field sensing applications because of their small size, high sensitivity, large frequency response, low power consumption, and relatively low cost. In all these applications, it is very important to estimate and possibly reduce the measurement uncertainty related to the use of these sensors. In this paper, the metrological characterization of GMR magnetometers highlights the contributions to measurement uncertainty of hysteresis, nonlinearity, and operating temperature. Starting from this knowledge, an automatic procedure for calibration and adjustment of GMR magnetometers is setup. This procedure, based on a mixed hardware-software solution, allows a meaningful reduction of the measurement uncertainty for both ac and dc magnetic field amplitude measurements using GMRs.
  • Keywords
    calibration; computerised instrumentation; giant magnetoresistance; magnetic field measurement; magnetic hysteresis; magnetic sensors; measurement uncertainty; GMR sensors; ac magnetic field amplitude measurements; automatic GMR magnetometer adjustment; automatic calibration procedure; dc magnetic field amplitude measurements; frequency response; giant magnetoresistance sensors; hysteresis; low power consumption; magnetic field sensing applications; measurement uncertainty reduction; metrological characterization; mixed hardware-software solution; nonlinearity; operating temperature; performance improvement; sensitivity; Giant magnetoresistance (GMR); magnetic field measurement; magnetometer; metrological characterization;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2271275
  • Filename
    6547705