Abstract:
We apply the unscented Kalman filter (UKF) to data assimilation based on the vertical one-dimensional global ionosphere-thermosphere model, which models the highly couple...Show MoreMetadata
Abstract:
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: 2008 American Control Conference
Date of Conference: 11-13 June 2008
Date Added to IEEE Xplore: 05 August 2008
ISBN Information: