… the initial information for our adaptive EKF methods is poorly … In other words, the initial data
in our filtering algorithms are … , but with our adaptive filtering techniques. Our methods and …

… or adaptive methods could be used to match the unknown system modes where a single model
fails to track the target. A tracking algorithm is … In this paper two different adaptive Kalman …

… of Kalman filter and extended Kalman filter. This chapter aims for those who need to teach
Kalman filters to … Following a problem definition of state estimation, filtering algorithms will be …

… model adaptive estimation method requires a bank of simultaneously operating Kalman filters
in … An adaptive Kalman filter based on sage windowing weights and variance components. …

… Then in section III, we introduce our adaptive Kalman filtering … it can be combined with the
Kalman filter. The main motivation to … resorting to an adaptive Kalman filtering approach, where …

… In this paper, a target tracking algorithm based on adaptive Sage-Husa Kalman filter is
proposed to solve the MMW radar target tracking problem in complex road environment. Firstly, a …

… This paper proposes a control algorithm with an adaptive Kalman filter … The proposed control
algorithm is evaluated by the experiments … of implementing the adaptive Kalman filter during …

… and fourth signals are the corresponding signals after filtering with the adaptive Kalman
filter. In the bottom panel, the Kalman gains for both filtered signals are plotted. The solid line …

… and high accuracy of Kalman filtering algorithm, this paper proposes a hybrid algorithm to
forecast wind speed combining Time series analysis and Kalman filter algorithm. First using …

… with a special focus on advanced unscented Kalman filter algorithms. … algorithms are
considered: the adaptive unscented Kalman filter and the randomized unscented Kalman filter…