… the central difference Kalman filter by fractional … Kalman filter and unscented Kalman filter
are widely used for SOC estimation. In this paper, an adaptive central difference Kalman filter is …

… To solve the aforementioned problems, this paper proposes a robust zero-difference Kalman
filter based on the random walk model and the equivalent gain matrix to resist the effects of …

… In this paper, a finite difference extended Kalman filter (… The finite difference (FD) algorithm
is benefit to compute the … error generated by the extended Kalman filter (EKF). The FDEKF …

… ) and the QVEKF (Quaternion Vector Extended Kalman Filter) presented in [20]; the main
difference between these variations is that the relative pose in the latter is expressed by a …

… Kalman filters, including the unscented Kalman filter (UKF), the cubature Kalman filter (CKF),
and the central difference Kalman filter (… and the stability of these sigma-point Kalman filters. …

… filter) are compared to show their differences from implementation complexity, estimation
accuracy and calculation efficiency, the resistance to measurement errors, and the sensitivity to …

… Kalman filter has a good ability to handle noise. This study uses the Kalman filter algorithm
that … that it makes almost no difference before and after the Kalman filter algorithm is given. …

… based on the Kalman filter algorithm to obtain the phase difference and to achieve a high
precision underwater target positioning, based on the phase difference acquisition mechanism …

… the Kalman filters (KFs) in a systematic manner and conducts a detailed literature review on
the linear Kalman filter (LKF) and non-linear Kalman filters (… Central difference Kalman filter …

… Kalman Filter in nonlinear systems, and introduced UKF that is called Unscented Kalman
Filter. … The residual is the difference between the measurement of the system output and the …