Results 241 to 250 of about 55,859 (291)

Extended modal Kalman filter

International Journal of Dynamics and Control, 2019
In this paper, based on Modal series, a new filter is proposed for a nonlinear system state estimation. Modal series is a new method to obtain a closed-form approximate solution of a nonlinear differential equation. Up to now, this series is only obtained in the neighborhood of an equilibrium point.
Gh. Mohammaddadi, N. Pariz, A. Karimpour
openaire   +1 more source

Robust extended Kalman filtering

IEEE Transactions on Signal Processing, 1999
Summary: Linearization errors inherent in the specification of an extended Kalman filter (EKF) can severely degrade its performance. This correspondence presents a new approach to the robust design of a discrete-time EKF by application of the robust linear design methods based on the \(H_\infty\) norm minimization criterion.
Einicke, G., White, L.
openaire   +2 more sources

Modified extended Kalman filtering

IEEE Transactions on Automatic Control, 1994
The authors propose a modification of the extended Kalman filtering algorithm for the following system: \[ dX_ t= f(t, X_ t) dt+ \varepsilon_ 1 \sigma_ 1 (t)dV_ t, \qquad dy_ t= h(t, X_ t) dt+ \varepsilon_ 2 \sigma_ 2 (t) dW_ t, \] where \((V_ t)\) and \((W_ t)\) are independent Brownian motions, \((X_ t)\in \mathbb{R}^ n\) and \((y_ t)\in \mathbb{R ...
Ahmed, N. U., Radaideh, S. M.
openaire   +2 more sources

State Estimation using Extended Kalman Filter and Unscented Kalman Filter

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), 2020
In any linear system the Kalman Filter is highly used to tracking and estimation. Extended Kalman Filter is deal nonlinear system better than Kalman Filter. But the framework of Extended Kalman Filter is not easy to draw they requires some highly numerical terms in nature.
Priya Shree Madhukar, L.B. Prasad
openaire   +1 more source

Modified extended Kalman filtering

Proceedings of 13th International Conference on Digital Signal Processing, 2002
This paper examines a previously published modified extended Kalman (1960) filter. The modification provides better estimates than the extended Kalman filter under certain system conditions. The modification attempts to formulate a more accurate linearization of the underlying system, hence improve the state estimates.
D.S. Wall, F.M.F. Gaston
openaire   +1 more source

Smoothly Constrained Extended Kalman Filter

2020 15th IEEE International Conference on Signal Processing (ICSP), 2020
For nonlinear state estimate, the EKF is an effective technique the base point error should be noted. The paper proposes a smoothly constrained extended Kalman filter for the nonlinear Gaussian mode. The statistical noise of the system is modeled as a constrained mathematical model, the objective function is established based on the maximum posterior ...
Hongwei Zhang, Xiaohu Zhang, Weixin Xie, Jinliang Du   +3 more
openaire   +1 more source

Bayesian filtering techniques: Kalman and extended Kalman filter basics

2009 19th International Conference Radioelektronika, 2009
Bayesian filters provide a statistical tool for dealing with measurement uncertainty. Bayesian filters estimate a state of dynamic system from noisy observations. These filters represent the state by random variable and in each time step probability distribution over random variable represents the uncertainty.
Jan Mochnac, Stanislav Marchevsky, Pavol Kocan   +2 more
openaire   +1 more source

Terahertz Extended Kalman Filtering Method

2022 Photonics North (PN), 2022
Terahertz time domain spectroscopy (THz-TDS) is a well-established spectroscopy technique that can investigate modes of molecules, particularly in vapour. However, maximum detectable absorption is often low and depends on the dynamic range of the THz-TDS system and the thickness of the sample.
Spotts I, Brodie CH, Leclerc CA, Jahed N, Saeedkia D, Gadsden SA, Al-Shabi M, Collier CM   +7 more
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Synchronization through extended kalman filtering

2007
We study the synchronization problem in discrete-time via an extended Kalman filter (EKF). That is, synchronization is obtained of transmitter and receiver dynamics in case the receiver is given via an extended Kalman filter that is driven by a noisy drive signal from the transmitter.
Cruz, César, Nijmeijer, Henk
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The quadratic extended Kalman filter

Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal, 2005
This paper extends the extended Kalman filter (EKF) to cover those scenarios in which the input signal is unknown and quadratic processing is required to estimate and track some parameters of interest. The optimal quadratic tracker is found to incorporate the fourth-order statistical knowledge about the excitation signal.
J. Villares, G. Vazquez
openaire   +1 more source