… These methods can be applied to the Kalman filtering algorithm for realizing the adaptive
Kalman filtering [4], [5]. However, the first two methods are computationally demanding so that …

… an Adaptive Kalman Filter (AKF), a Kalman filter variant that adaptively updates its model
parameters during training. For a Kalman filter … Kalman filter with periodic batch retraining. …

… In this paper, an adaptive Kalman filtering model is introduced to improve the prediction
accuracy of air quality based on the autoregressive model. The proposed methods can provide …

… adaptive robust Kalman filtering algorithm that addresses estimation problems that arise in
linear time-varying systems with stochastic parametric uncertainties. The filter … The algorithm …

… guidelines or algorithms are not existing. This paper proposes a method for auto-tuning of
Kalman filter for Dynamic Positioning of marine vessels using adaptive algorithms. Existing …

… of Kalman filters, with emphasis on basic Kalman filter theory, the Rauch-Tung-Striebel
smoother, and the extended Kalman filter… basis of a powerful learning algorithm for the training of …

… In this paper, an Adaptive Kalman Filter(AKF) technique is proposed for estimation of vehicle
longitudinal velocity and lateral velocity, using steering angle, lateral acceleration and yaw …

… the algorithm structure and did not consider the influence of relevant factors on the
prediction results. In this work, the Adaptive Cubature Kalman Filtering (ACKF) algorithm with …

… In order to deal with the inertial sensor noise, low-pass filter, Kalman filter, adaptive
Kalman filter (AKF) and sliding window least squares (SWLS) are chosen to test the filtering …

… filter. Moreover, we propose a dynamic scheme for the Kalman filter as the elements of its …
contributes to the update equations of the Kalman filter state matrix. Otherwise, the observation …