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
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;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739160