Rotated Unscented Kalman Filter for Two State Nonlinear Systems

journal of Artificial Intelligence in Electrical Engineering

مقاله 7، دوره 1، شماره 4، خرداد 2013، صفحه 44-48   

چکیده

In the several past years, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) have
became basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.
The UKF has consistently outperformed for estimation. Sometimes least estimation error doesn't yield
with UKF for the most nonlinear systems. In this paper, we use a new approach for a two variable
state nonlinear systems which it is called Rotated UKF (R_UKF). R_UKF can be reduced estimation
error and reached for least error in state estimation.

کلیدواژه‌ها

Extended kalman filter (EKF)؛ unscented kalman filter (UKF)؛ rotated UKF (R-UKF)

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