… Moreover, we remark that all the cited MCC-based Kalman filters exploit the idea of using
the prediction (time update) step of the conventional KF. The latter allows the cited state …

… Over the decades, great efforts have been made to develop Kalman filter-based … and
non-Gaussian noises/uncertainties. Extended Kalman filter (EKF), (7−9) unscented Kalman filter (…

… filter as compared with the MEE-based filter. To enrich the methodology and enhance the
estimation accuracy of the Kalman filter … the presence of different kinds of non-Gaussian noises. …

… vector and named Gaussian mixture Kalman filter (GMKF), is … with non-Gaussian system
and measurement noises, … maneuvering target tracking in the presence of glint noise [21]. In …

… the presence of Non-Gaussian impulsive noise since this type of noise is considered to be a
severe noise … for the Extended Kalman Filter detector for NonGaussian noise are provided. …

… before using the Kalman filter, resulting in an extended Kalman filter. This linearization does
… kalman filter (UKF). The approach in this paper is to analyze UnscentedKalman filter where …

… non-Gaussian noise in the linear model. We model the measurement noise as the mixture
of the background noise … noise and impulse separately and then interacts the filtering results …

… an approximate solution, it suggests a way to modify the Kalman filter under a non-Gaussian
environment. Assume that wk is Gaussian. The state estimate of the Kalman filter is given by …

… that can handle non-Gaussian feature extraction noise. Unlike … test RMCKF with non-Gaussian
Kalman Filter-based techniques. … noise scenarios and various starting configurations. …

… the estimation accuracy in presence of heavy-tailed measurement noise. By using VB …
VB-based Kalman filters (VBFs) can deal with state estimation problem under non-Gaussian …