… In this paper a Kalman filter based observer for a class of deterministic discrete-time …
Exploiting the system structure, we propose an observer consisting of interlaced Kalman filters and …

… sparse recovery problem into two interlaced subproblems: 1) … In this correspondence, we
propose a new Kalman filtering … giving rise to an extended Kalman filter. Both formulations were …

… This objective is reached using a specific extension of the Extended Kalman Filter, called
Interlaced Extended Kalman Filter, which allows exchanging the estimation performed by any …

… This paper presents an empirical methodology for tuning the classical Extended Kalman
Filter (EKF) in order to achieve consistent pose estimates for every robot in decentralized …

… technique, observer-Kalman filter identification, which is then combined with the eigensystem
realization algorithm, and termed the OKID/ERA approach [9]–[11], but we extend it here to …

… The tracker design uses an Extended Kalman Filter to model the nonlinear dynamics and
measurement models and a multi-pronged association scheme to determine the scene and …

… to determine the detrimental effects of bearings-only measurements of various uncertainties
on the performance of the NEKF when these unobservable measurements are interlaced …

… The information filter is essentially a Kalman filter but is more … of the conventional Kalman
filter. In addition, the information … filtering techniques, such as, the extended Kalman filter (EKF)…

… systems, the extended Kalman filter often linearizes the … than those without the case interlaced
OOSM. The readers can … including the case of interlaced OOSMs with less storages than …

… This paper presents a Hybrid filter based Simultaneous Localization and Mapping (SLAM) …
using a Kalman filter (KF), an extended Kalman filter (EKF) and an unscented Kalman filter (…