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A Factorized Extended Kalman Filter
SPIE Proceedings, 1986Kalman 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 +2 more
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Stable Robust Extended Kalman Filter
Journal of Aerospace Engineering, 2017AbstractIn 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
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The consistent extended Kalman filter
Proceedings of the 33rd Chinese Control Conference, 2014This 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 +3 more
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International Conference on Unmanned Aircraft Systems, 2018
A magnetic and inertial measurement unit (MIMU) provides raw, real-time acceleration, angular velocity, and a measure of earth's magnetic field. By itself, this data is subject to significant noise, bias, and drift (without constant re-calibration).
Simone A. Ludwig, Kaleb D. Burnham
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A magnetic and inertial measurement unit (MIMU) provides raw, real-time acceleration, angular velocity, and a measure of earth's magnetic field. By itself, this data is subject to significant noise, bias, and drift (without constant re-calibration).
Simone A. Ludwig, Kaleb D. Burnham
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Backward-Smoothing Extended Kalman Filter
Journal of Guidance, Control, and Dynamics, 2005The 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.
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The multi-innovation extended Kalman filter algorithm for battery SOC estimation
Ionics (Kiel), 2020Wenqian Li +3 more
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System Identification Using Kalman Filter and Extended Kalman Filter
2023Ke Huang, Ka-Veng Yuen
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A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation
IEEE Transactions on Power Systems, 2017Junbo Zhao, Marcos Netto, L. Mili
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