• DocumentCode
    1756661
  • Title

    Improving the Spatial Resolution of Magneto Resistive Sensors via Deconvolution

  • Author

    Holzl, Patrick Alexander ; Zagar, Bernhard G.

  • Author_Institution
    Inst. for Meas. Technol., Johannes Kepler Univ. of Linz, Linz, Austria
  • Volume
    13
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4296
  • Lastpage
    4304
  • Abstract
    State-of-the-art GMR sensors are becoming increasingly popular for a variety of applications, due to of the progress in the area of magnetic field sensor technologies in the recent years. Especially in the area of nondestructive testing, the number of applications based on magnetic field sensors is steadily increasing. Until now, a major concern of these applications has been to improve the sensors sensitivity to be able to measure even minimal magnetic field variations. However, an equally important characteristic, the sensors spatial resolution, is often neglected in discussions. In this paper, the spatial resolution of two different GMR sensors is analyzed. The sensors are modeled as linear space-invariant systems. With the analytical solution for the magnetic field above a current carrying conductor and a corresponding measurement, the attainable spatial resolution is determined comparing two different deconvolution methods, an inverse and a Wiener filter. Finally, the determined sensor characteristics are used to improve the measurement accuracy significantly.
  • Keywords
    Wiener filters; deconvolution; digital filters; magnetic sensors; magnetoresistive devices; nondestructive testing; deconvolution; digital filtering algorithms; inverse Wiener filter; linear space-invariant systems; magnetic field sensors; magneto resistive sensors; nondestructive testing; spatial resolution; Deconvolution; gradiometer; magnetometer; spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2266576
  • Filename
    6525325