Results 171 to 180 of about 3,045 (214)

An extended Kalman filter for mouse tracking

Medical & Biological Engineering & Computing, 2018
Animal tracking is an important tool for observing behavior, which is useful in various research areas. Animal specimens can be tracked using dynamic models and observation models that require several types of data. Tracking mouse has several barriers due to the physical characteristics of the mouse, their unpredictable movement, and cluttered ...
Hongjun Choi, Mingi Kim, Onseok Lee
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Stability of distributed extended Kalman filters

2017 22nd International Conference on Digital Signal Processing (DSP), 2017
The need for faster and more robust parameter estimates in the smart grid, together with the growth in multi-sensor distributed measurements has motivated the development of distributed extended Kalman filtering (EKF) algorithms. However, fundamental theoretical insights about the convergence and stability of these distributed extended Kalman filtering
Sithan Kanna, Danilo P. Mandic
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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
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Performance evaluation of the Extended Kalman Filter and Unscented Kalman Filter

2015 International Conference on Unmanned Aircraft Systems (ICUAS), 2015
The Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are methods usually applied in the sensor fusion for Unmanned Aerial Vehicles due to its nonlinear navigation equations. This paper presents a comparison between the two filters considering the position, velocity and attitude of the vehicle and the IMU bias.
Natassya B. F. da Silva, Daniel B. Wilson, Kalinka R. L. J. Branco   +2 more
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Evaluation of Unscented Kalman Filter and Extended Kalman Filter for Radar Tracking Data Filtering

2014 European Modelling Symposium, 2014
This paper focuses on the issue of nonlinear data filtering in radar tracking. Through the analysis on the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), which are both nonlinear filters, we find that the accuracy of the extended Kalman filtered data image was not ideal for radar tracking data filtering, while UKF can achieve ...
Jihong Shen, Yanan Liu, Sese Wang, Zhuo Sun 0001   +3 more
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A MODULAR IMPLEMENTATION OF THE EXTENDED KALMAN FILTER

IFAC Proceedings Volumes, 1988
Abstract A number of dynamic simulation packages offer the possibilty to build up large systems by connecting smaller modules together. Each module then contains the algebraic and difference or differential equations for a part of the system. For the extended Kalman filter the partial derivatives of the process model equations are needed for the ...
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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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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
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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
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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
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