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Student's <i>t</i>-Distributed Extended Kalman Filter with Switch Factor for UWB Localization Under Colored Measurement Noise. [PDF]
Micromachines (Basel)Xu Y, Yin H, Yang M, Deng L, Sun M.
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An ensemble Kalman filter with rescaling disaggregation for assimilating terrestrial water storage into hydrological models. [PDF]
Sci RepRetegui-Schiettekatte L +4 more
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Nonlinear filtering with exogenous Kalman filter and double Kalman filter
2016 European Control Conference (ECC), 2016We propose two variants of the Linearized Kalman Filter (LKF). The model linearization is made about an auxiliary state estimate that can be seen as an exogenous input to the LFK, and the resulting two-stage estimator is called an exogenous Kalman filter (XKF).
Tor Arne Johansen, Thor I. Fossen
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Neurocomputing, 2005
Anticipating future events is a crucial function of the central nervous system and can be modelled by Kalman filter-like mechanisms, which are optimal for predicting linear dynamical systems. Connectionist representation of such mechanisms with Hebbian learning rules has not yet been derived.
Gábor Szirtes +2 more
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Anticipating future events is a crucial function of the central nervous system and can be modelled by Kalman filter-like mechanisms, which are optimal for predicting linear dynamical systems. Connectionist representation of such mechanisms with Hebbian learning rules has not yet been derived.
Gábor Szirtes +2 more
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A Quadratic Kalman Filter [PDF]
SSRN Electronic Journal, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Monfort, A. +2 more
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Asian Journal of Control, 2016
AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
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AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
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DIVERGENCE IN THE KALMAN FILTER
Guidance and Control Conference, 1966Under certain conditions, the orbit estimated by a Kalman filter has errors that are much greater than predicted by theory. This phenomenon is called divergence, and renders the operation of the Kalman filter unsatisfactory. This paper investigates the control of divergence in a Kalman filter used for autonomous navigation in a low earth orbit.
F. H. SCHLEE, C. J. STANDISH, N. F. TODA
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