As an alternative fusion process of the federated Kalman filter, a gain fusion algorithm is
newly proposed in this paper. In this algorithm the optimal covariance and estimate are …

The Kalman filter has been widely applied in the field of dynamic navigation and positioning.
However, its performance will be degraded in the presence of significant model errors and …

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

In this paper, comprehensive methods to apply several formulations of nonlinear estimators
to integrated navigation problems are considered and developed. The problem of linear and …

In this paper a brief review of Sage adaptive filtering is followed by an analysis of the
shortcomings of covariance matrices formed by windowing residual vectors, innovation …

This paper develops novel covariance and square‐root factor formulations of a consider‐
neglect Kalman filter for navigation applications. The proposed filter partitions system …

One of the main challenges of the inertial navigation algorithms is the initial attitude
determination (ie heading, roll and pitch). Indeed, as long as the attitude is not known …

Common techniques for position-velocity-time estimation in satellite navigation, iterative
least squares and the extended Kalman filter, involve matrix operations. The matrix inversion …

An improved adaptive extended Kalman filtering algorithm is proposed here to estimate the
measurement noise on-line for the SINS/GPS integrated navigation systems. The …

Modern navigation systems require the integration of different sensors that are either
employed as primary navigation method (eg dead reckoning in car navigation) to provide …