… An iterative version of EKF is the iterative extended Kalman filter (IEKF, [2]) which re-linearises
the measurement Jacobian at the updated state and applies the measurement update …

… Kalman filter (MGEKF). A sufficient condition for the estimation … extended Kalman filter often
shows erratic behavior. … how the EKO (the extended Kalman observer) can be manipulated …

… using extended Kalman filter,” IEEE Trans. Ind. Appl., vol. … extended Kalman filter,” IEEE
Trans. Ind. Electron., vol. … drives using the extended Kalman filter technique,” Proc. Inst. Electr. …

… Abstract: This paper presents an extended Kalman filter for real-time estimation of rigid body
orientation using the newly developed MARG (Magnetic, Angular Rate, and Gravity) sensors…

… In this study, a novel SOE estimation method based on the PF and extended Kalman filter
(EKF) algorithms is proposed. In this method, the PF algorithm is used for the SOE estimation, …

… [Kalman, 1960; Wan and Van Der Merwe, 2001]. Here, we use the joint extended Kalman
Filter (hereinafter still referred to as eKF) which uses the general Kalman Filter algorithm but …

… In this article, we suggest a generalization ofthe well-known extended Kalman filter and
smoother (shortened EKFS) for nonlinear conditionally Gaussian models as a recursive ap…

… This paper has focused on demonstrating that a simple yet robust extended Kalman filter
is sufficient to achieve centimeter-level accuracy for formation estimation. Adaptive filtering …

… THE extended Kalman filter (EKF) is an optimal estimator in the least-square sense for …
Owing to negligence of the mechanical equation in the Kalman filter model, the estimated speed …

… Abstract: The authors analyse the error behaviour of the robust extended Kalman filter (REKF)
for … REKF over the usual extended Kalman filter (EKF), the REKF and the adaptive EKF. …