Results 1 to 10 of about 19,182 (197)

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

Iterative Truncated Unscented Particle Filter

Information, 2020
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems.
Yanbo Wang, Fasheng Wang, Jianjun He, Fuming Sun   +3 more
doaj   +1 more source

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
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
doaj   +1 more source

Results of the attitude reconstruction for the UniSat-6 microsatellite using in-orbit data [PDF]

, 2016
UniSat-6 is a civilian microsatellite that was launched in orbit on the 19th of June, 2014. Its main mission consisted in the in-orbit release of a number of on-board carried Cubesats and in the transmission to the UniSat-6 ground station of telemetry ...
Chantal Cappelletti, Crassidis, Crassidis, Farrell, Farrenkopf, Filippo Graziani, Kim, Lefferts, Markley, Nascetti, Simone Battistini, Vilán   +11 more
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Quadrature filters for one-step randomly delayed measurements [PDF]

, 2016
In this paper, two existing quadrature filters, viz., the Gauss–Hermite filter (GHF) and the sparse-grid Gauss–Hermite filter (SGHF) are extended to solve nonlinear filtering problems with one step randomly delayed measurements. The developed filters are
Abhinoy Kumar Singh, Arasaratnam, Arasaratnam, Bar-Shalom, Bar-Shalom, Bhaumik, Bhaumik, Carazo, Carazo, Chalasani, Challa, Chang, Farina, Golub, Haleh, Haykin, Hsiao, Ito, Jia, Jia, Julier, Krylov, Larsen, Li, Norgaard, Paresh Date, Ponomareva, Press, Ray, Shovan Bhaumik, Singh, Smolyak, Suzdaleva, Thomopoulos, Wang, Wang   +35 more
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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

A Widely Linear Complex Unscented Kalman Filter [PDF]

IEEE Signal Processing Letters, 2011
Conventional complex valued signal processing algorithms assume rotation invariant (circular) signal distributions, and are thus suboptimal for real world processes which exhibit rotation dependent distributions (noncircular). In nonlinear sequential state space estimation, noncircularity can arise from the data, state transition model, and state and ...
Dahir H. Dini, Danilo P. Mandic, Simon J. Julier   +2 more
openaire   +1 more source

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
doaj   +1 more source

Model Prediction-Based Approach to Fault Tolerant Control with Applications [PDF]

, 2013
— Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions.
Khalid, Dr. Haris M., Mahmoud, Professor Magdi S.   +1 more
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