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Localized data assimilation in the ionosphere-thermosphere using a sampled-data unscented Kalman filter

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4 Author(s)
Kim, I.S. ; Dept. of Aerosp. Eng., Univ. of Michigan, Ann Arbor, MI ; Pawlowski, D.J. ; Ridley, A.J. ; Bernstein, D.S.

We apply the unscented Kalman filter (UKF) to data assimilation based on the vertical one-dimensional global ionosphere-thermosphere model, which models the highly coupled, strongly nonlinear Earth's upper atmosphere. To reduce the computational complexity of UKF, we introduce a localized, sampled-data update scheme with frozen-intersample error covariance, and examine its performance through numerical simulation.

Published in:

American Control Conference, 2008

Date of Conference:

11-13 June 2008

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