Results 31 to 40 of about 9,303 (171)

An efficiency algorithm on Gaussian mixture UKF for BDS/INS navigation system

Geodesy and Geodynamics, 2018
To further improve the performance of UKF (Unscented Kalman Filter) algorithm used in BDS/SINS (BeiDou Navigation Satellite System/Strap down Inertial Navigation System), an improved GM-UKF (Gaussian Mixture Unscented Kalman Filter) considering non ...
Qing Dai, Lifen Sui, Lingxuan Wang, Tian Zeng, Yuan Tian   +4 more
doaj   +1 more source

Research on Aircraft Performance Monitoring Parameter Selection Based on Improved Window Algorithm

Hangkong gongcheng jinzhan, 2021
The suitable aircraft performance monitoring(APM)parameters selection method can realize the efficient selection of domestic civil cruising APM parameters,which can provide the reliable data basis of aircraft performance analysis and calculation.The Sage-
QIAN Yu, WANG Lixin, LIU Yu
doaj   +1 more source

Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]

, 2017
Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J., Fotouhi, Abbas, Knap, Vaclav, Longo, Stefano, Propp, Karsten   +4 more
core   +2 more sources

UKF based estimation approach for DVR control to compensate voltage swell in distribution systems

Ain Shams Engineering Journal, 2018
The Dynamic Voltage Restorer (DVR) is identified as the best solution for mitigation of voltage sag and swell related problems in the much taped distribution system. The compensation performance of the DVR very much depends on its control algorithm.
P. SasiKiran, T. Gowri Manohar
doaj   +1 more source

Pseudolite dynamic tracking and positioning algorithm based on square root UKF

Journal of Hebei University of Science and Technology, 2020
In order to solve the limitation of traditional Kalman filter in dealing with nonlinear system and the problem of divergence and poor accuracy of extended Kalman filter (EKF) in dealing with strong nonlinear system, a dynamic tracking and positioning ...
Chenhao DUAN, Jue WANG, Zhixin DENG
doaj   +1 more source

Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]

, 2010
Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus, B. Ristic, C. Kwok, D. Schulz, G. Bradski, Huosheng Hu, J. K. Uhlmann, J. N. K. Liu, M. Arulampalam, N. Bellotto, N. J. Gordon, Nicola Bellotto, R. Kalman, S. J. Julier, Y. Bar-Shalom   +14 more
core   +1 more source

Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation

Sensors, 2016
A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks.
Xi Liu, Hua Qu, Jihong Zhao, Pengcheng Yue, Meng Wang   +4 more
doaj   +1 more source

Passive Radar Tracking in Clutter Using Range and Range-Rate Measurements

Sensors, 2023
Passive bistatic radar research is essential for accurate 3D target tracking, especially in the presence of missing or low-quality bearing information. Traditional extended Kalman filter (EKF) methods often introduce bias in such scenarios.
Asma Asif, Sithamparanathan Kandeepan, Robin J. Evans   +2 more
doaj   +1 more source

Intelligent approach for processmodelling and optimization on electrical dischargemachining of polycrystalline diamond [PDF]

, 2020
Polycrystalline diamond (PCD) is increasingly becomes an important material used in the industry for cutting tools of difficult-to-machine materials due to its excellent characteristics such as hardness, toughness and wear resistance.
Ahmad, Muhammad Ariff Haikal, Chong, Chon Haow, Lee, Woon Kiow, Ong, Pauline, Rahim, Mohammad Zulafif, Sia, Chee Kiong   +5 more
core   +1 more source

UKF‐MOT: An unscented Kalman filter‐based 3D multi‐object tracker

CAAI Transactions on Intelligence Technology
Abstract Multi‐object tracking in autonomous driving is a non‐linear problem. To better address the tracking problem, this paper leveraged an unscented Kalman filter to predict the object's state. In the association stage, the Mahalanobis distance was employed as an affinity metric, and a Non‐minimum Suppression method was designed ...
Meng Liu, Jianwei Niu, Yu Liu
openaire   +2 more sources