Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty

Summary This paper presents a modified strong tracking unscented Kalman filter (MSTUKF) to address the performance degradation and divergence of the unscented Kalman filter because of process model uncertainty. The MSTUKF adopts the hypothesis testing method to identify process model uncertainty and...

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Bibliographic Details
Published in:International journal of adaptive control and signal processing 2015-12, Vol.29 (12), p.1561-1577
Main Authors: Hu, Gaoge, Gao, Shesheng, Zhong, Yongmin, Gao, Bingbing, Subic, Aleksandar
Format: Article
Language:English
Subjects:
Fading
Filtering
Filtration
Kalman filters
Mathematical models
nonlinear state estimation
State estimation
strong tracking filter
suboptimal fading factor
Tracking
Uncertainty
unscented Kalman filter
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