• DocumentCode
    2249560
  • Title

    Recursive estimation of terrestrial magnetic and electric potentials

  • Author

    Amato, A. M D ; Teixeira, B.O.S. ; Palanthandalam-Madapusi, H.J. ; Ridley, A.J. ; Bernstein, D.S.

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    1648
  • Lastpage
    1653
  • Abstract
    In this paper we recursively estimate the magnetic and electric potential of the Earth¿s Arctic region. We construct estimates based on data gathered from over 85 magnetometer sources and several radar sites dispersed around the North Pole. The approach to estimating the Arctic polar cap electric potential is through data assimilation based on linear and nonlinear Kalman filters. We demonstrate that the magnetic and electric potential over the Arctic region can be approximately reconstructed from sparse, nonuniform magnetometer and radar data sources.
  • Keywords
    Earth; Kalman filters; data assimilation; electric potential; geomagnetism; geophysical techniques; geophysics computing; magnetometers; nonlinear filters; recursive estimation; terrestrial electricity; Arctic polar cap; Earth Arctic region; data assimilation; magnetometer sources; nonlinear Kalman filter; radar data sources; radar site; recursive estimation; terrestrial electric potential; terrestrial magnetic potential; Arctic; Data assimilation; Earth; Electric potential; Fluctuations; Global Positioning System; Magnetic separation; Magnetometers; Radar; Recursive estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739160
  • Filename
    4739160