… This paper looks at an adaptive Kalman filter method for dynamic … As an alternative, the
proposed adaptive Kalman filter … Its adaptive function allows for the resetting of the Kalman …

… Evaluation of the proposed adaptive algorithm. Figure 5 shows the RMSs of the adaptive
Kalman filter’s states derived from the covariance matrix Pˆk. Only the RMS values of the first …

… In this article, we propose a new adaptive Metropolis algorithm, where we update the …
distribution of the Metropolis algorithm using the variational Bayesian adaptive Kalman filter (VB-…

… adaptive Kalman filter for tracking targets expected to perform varying turn maneuvers. The
process noise covariance level of a second order Kalman filter is … proposed algorithm is made …

… Various adaptive schemes have been proposed since the advent of the Kalman filter, which
… Shabani, “Multirate adaptive Kalman filter for marine integrated navigation system,” J. Navig.…

… Kalman filtering with an initial gain. In this paper the signal is modeled as an AR process and
a Kalman filter … The sequential estimators are derived for sub-optimal adaptive estimation of …

… , a navigation technology based on Adaptive Kalman Filter with attenuation factor is proposed
to restrain noise in this paper. The algorithm continuously updates the measurement noise …

… ), are estimated with the use of the developed nonlinear extended Kalman filter (NEKF).
The initial values of the Kalman filter covariance matrices are set using the genetic algorithm. …

… such scenario the filter calculated mean … Kalman filter with accurate models. This can lead
to low credibility of state estimation regardless of using Kalman filters or adaptive Kalman filters…

… We used the conventional Kalman filter and adaptive algorithm to estimate the GPS position
and velocity. When using the adaptive filter, according to the Chi-square distribution table at …