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Adaptive Kalman Filter Design for an Alignment System with Unknown Sway Disturbance
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 Title & Authors
Adaptive Kalman Filter Design for an Alignment System with Unknown Sway Disturbance
Kim, Jong-Kwon; Woo, Gui-Aee; Cho, Kyeum-Rae;
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 Abstract
The initial alignment of inertial platform for navigation system was considered. An adaptive filtering technique is developed for the system with unknown and varying sway disturbance. It is assumed that the random sway motion is the second order ARMA(Auto Regressive Moving Average) model and performed parameter identification for unknown parameters. Designed adaptive filter contain both a Kalman filter and a self-tuning filter. This filtering system can automatically adapt to varying environmental conditions. To verify the robustness of the filtering system, the computer simulation was performed with unknown and varying sway disturbance.
 Keywords
Initial alignment;sway disturbance;ARMA(Auto Regressive Moving Average) Model;Kalman filter;self-tuning filter;
 Language
English
 Cited by
 References
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