OVERCOMING ERRORS IN PROCESSING NONLINEAR MEASUREMENTS: A NEW EXTENSION FOR THE KALMAN FILTER

被引：0
作者：
Draganov, Alexandr [1 ]
机构：
[1] Argon ST, Fairfax, VA USA
来源：
PROCEEDINGS OF THE 26TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2013) | 2013年
关键词：
Kalman filtering; nonlinearity; nonlinear estimation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The Predictor-Corrector Unscented Kalman filter is designed to compute the measurement update for linear or nonlinear measurements. It is backward-compatible with other Kalman filter formulations (e.g., EKF or UKF) in a sense that the filter state is described by the mean and covariance only. At a small additional cost in computational load, this filter delivers a better (sometimes, much better) accuracy than alternatives.
引用
收藏
页码：1977 / 1987
页数：11
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