A navigation integration processing scheme, called the strong tracking unscented Kalman
filter (STUKF), is based on the combination of an unscented Kalman filter (UKF) and a strong …

This paper presents a sensor fusion method based on the combination of cubature Kalman
filter (CKF) and fuzzy logic adaptive system (FLAS) for the integrated navigation systems …

The well-known extended Kalman filter (EKF) has been widely applied to the Global
Positioning System (GPS) navigation processing. The adaptive algorithm has been one of …

In this paper, application of fuzzy interacting multiple model unscented Kalman filter (FUZZY-
IMMUKF) approach to integrated navigation processing for maneuvering vehicle is …

This paper conducts performance evaluation for the ultra-tight integration of Global
positioning system (GPS) and inertial navigation system (INS) by use of the fuzzy adaptive …

The Kalman filtering is a form of recursive optimal estimation, which has been widely applied
to the navigation designs. Kalman filter requires that all the plant dynamics and noise …

In this contribution, an improved Extended Kalman Filter (EKF), named the Total Extended
Kalman Filter (TEKF) is proposed for integrated navigation. It can consider the neglected …

A generalized Kalman filtering estimator with nonlinear models is derived based on
correlational inference, in which a new target function with constraint equation is …

The optimal performance of the conventional Kalman filters is not guaranteed, when there is
uncertainty in the process and measurement noise covariances. In this paper, in order to …

This paper presents a novel hybrid derivative-free extended Kalman filter, which takes
advantage of both the linear time propagation of the Kalman filter and nonlinear …