Results 21 to 30 of about 3,355 (179)

A New Adaptive High-Order Unscented Kalman Filter for Improving the Accuracy and Robustness of Target Tracking

IEEE Access, 2019
In target tracking, the tracking process needs to constantly update the data information. For maneuvering target, model mismatch and loss of high-order moment information disrupt the accuracy of the state estimation. In this paper, an adaptive high-order
Weidong Zhou, Jiaxin Hou
doaj   +1 more source

Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]

Xibei Gongye Daxue Xuebao, 2018
Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...

doaj   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries Based on Dual-Coefficient Tracking Improved Square-Root Unscented Kalman Filter

Batteries, 2023
Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng, Ao Zhang, Dandan Liu, Mengzeng Cheng, Jiarong Kan, Michael Pecht   +5 more
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Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
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Two-Step Adaptive Augmented Unscented Kalman Filter for Roll Angles of Spinning Missiles Based on Magnetometer Measurements

Measurement + Control, 2018
It is critical to measure the roll angle of a spinning missile quickly and accurately. Magnetometers are commonly used to implement these measurements.
Xiaolong Yan, Guoguang Chen, Xiaoli Tian
doaj   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Based on Fuzzy Fractional-Order Unscented Kalman Filter

Fractal and Fractional, 2021
The covariance matrix of measurement noise is fixed in the Kalman filter algorithm. However, in the process of battery operation, the measurement noise is affected by different charging and discharging conditions and the external environment ...
Liping Chen, Yu Chen, António M. Lopes, Huifang Kong, Ranchao Wu   +4 more
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Neural Tractography Using an Unscented Kalman Filter [PDF]

, 2009
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge of confidence in the estimated fiber model.
James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi   +2 more
openaire   +4 more sources

A Simple Attitude Unscented Kalman Filter: Theory and Evaluation in a Magnetometer-Only Spacecraft Scenario

IEEE Access, 2016
A quaternion-based attitude unscented Kalman filter is formulated with quaternion errors parameterized by small angle approximations and is applied to a filter with a state vector consisting of the attitude quaternion and the gyro bias vector. The filter
Murty S. Challa, Jay G. Moore, Daniel J. Rogers   +2 more
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UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

Frontiers in Energy Research, 2022
The accuracy of rotor position estimation determines the performance of the sensorless control system of a permanent magnet synchronous motor. In order to realize the accurate control of rotor position and speed, it is necessary to identify the motor ...
Zhiwei Wang, Xin Liu, Wenzhuo Wang, Yunling Lv, Bo Yuan, Wujing Li, Qiufang Li, Shijie Wang, Qianchang Chen, Yi Zhang   +9 more
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Inverse Unscented Kalman Filter

IEEE Transactions on Signal Processing
Rapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters. In this setting, a cognitive 'adversary' tracks its target of interest via a stochastic framework such as a Kalman filter (KF).
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay   +2 more
openaire   +4 more sources