… adaptive Kalman filtering algorithms that can he used to improve the estimation of the
stochastic properties of a low cost INS. The algorithms … The adaptive Kalman filtering algorithms …

… In this article, we have presented a new adaptive Kalman filtering algorithm, which is based
on recursively forming separable approximations to the joint distribution of state and noise …

… In this paper, an optimization-based adaptive Kalman filtering method is proposed. The
method produces an estimate of the process noise covariance matrix Q by solving an …

… In this paper, two adaptive Kalman filtering algorithms have been derived, one is simply
applying a scale factor to the predicted covariance matrix (fading memory) and another to …

… adaptive Kalman filter as an alternative for use with INS/GPS systems. In this contribution,
the general layout of the adaptive Kalman filtering … the adaptive Kalman filter outperforms the …

… These are artificially scaling the predicted Kalman filter covariance, the Adaptive Kalman
Filter … the use of adaptive Kalman filtering algorithms for improving Kalman filter performance. …

… An adaptive Kalman filter is proposed in this paper for … of the proposed adaptive Kalman
filter is rigorously analyzed. In … within the proposed adaptive Kalman filter is equivalent to the …

… Kalman algorithm is … a Kalman filter often suffers from the problem of "dropping off' and
looses then the ability to match abrupt parameter changes. In this paper an adaptive Kalman filter …

… In this Section modifications to the Kalman filter that result in adaptive IIR equaliser … To
make the equaliser adaptive, the system identification algorithm of Section 3.1 is used in …

… -only adaptive algorithm is superior to the other two algorithms … , the proposed adaptive
Kalman filtering algorithm based on … Table 1 Adaptive Kalman filtering algorithm based on AR …