Results 251 to 260 of about 55,859 (291)

A Factorized Extended Kalman Filter

SPIE Proceedings, 1986
Kalman filtering represents formidable computational linear algebra requirements for each new input measurement vector. The air-to-air missile guidance problem is addressed for which an extended Kalman filter (EKF) is required because the measurements are nonlinear in Cartesian coordinates. An explicit formulation is used.
James L. Fisher, David P. Casasent, Charles P. Neuman   +2 more
openaire   +1 more source

Stable Robust Extended Kalman Filter

Journal of Aerospace Engineering, 2017
AbstractIn this paper, a stable and robust filter is proposed for structural identification. This filter resolves the instability problems of the traditional extended Kalman filter (EKF). Instead of ad hoc assignment of the noise covariance matrices in the EKF, the proposed stable robust extended Kalman filter (SREKF) provides real-time updating of the
He-Qing Mu, Sin-Chi Kuok, Ka-Veng Yuen
openaire   +1 more source

The consistent extended Kalman filter

Proceedings of the 33rd Chinese Control Conference, 2014
This paper studies the consistency of the extended Kalman filter(EKF) for a general class of nonlinear systems. Based on the EKF algorithm, we propose the CEKF as well as the tuning law for its parameters. The consistency of CEKF is proved. Finally, the feasibility and consistency are illustrated by the numerical simulation for an example system.
Yanguang Jiang, Wenchao Xue, Yi Huang, Haitao Fang   +3 more
openaire   +1 more source

Extended Kalman filter for extended object tracking

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this work, we present a novel method for tracking an elliptical shape approximation of an extended object based on a varying number of spatially distributed measurements. For this purpose, an explicit nonlinear measurement equation is formulated that relates the kinematic and shape parameters to a measurement by means of a multiplicative noise term.
Shishan Yang, Marcus Baum
openaire   +1 more source

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2010
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Backward-Smoothing Extended Kalman Filter

Journal of Guidance, Control, and Dynamics, 2005
The principle of the iterated extended Kalman filter has been generalized to create a new filter that has superior performance when the estimation problem contains severe nonlinearities. The new filter is useful when nonlinearities might significantly degrade the accuracy or convergence reliability of other filters.
openaire   +1 more source

A Review on Kalman Filter Models

Archives of Computational Methods in Engineering, 2022
Vafa Maihami
exaly  

Extended Kalman Filtering

2023
openaire   +1 more source

System Identification Using Kalman Filter and Extended Kalman Filter

2023
Ke Huang, Ka-Veng Yuen
openaire   +1 more source

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

Applied Energy, 2020
Yong Tian, Jindong Tian
exaly