Results 151 to 160 of about 5,324 (208)

Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method

IEEE Transactions on Signal Processing, 2023
This article explores the problem of nonlinear state estimation in the presence of outlier-contaminated measurements. First, to deal with the non-stationary non-Gaussian noises caused by randomly occurring measurement outliers, we propose a new Gaussian ...
Hongpo Fu, Wei Huang, Zhenwei Li, Yongmei Cheng, Tianyi Zhang   +4 more
semanticscholar   +1 more source

Distributed Maximum Correntropy Cubature Information Filtering for Tracking Unmanned Aerial Vehicle

IEEE Sensors Journal, 2023
Aiming at improving the performance of tracking an unmanned aerial vehicle (UAV) on the battlefield, this article focuses on the algorithm involving tracking the maneuvering target with a distributed sensor network under non-Gaussian measurement noise. A
Yu Zhou, Zhen Zheng, Jinbo Huang, Chengjun Wang, Guangbo Xu, Youshi Xuchen, Bingting Zha   +6 more
semanticscholar   +1 more source

Environmentally Adaptive Event-Driven Robust Cubature Kalman Filter for RSS-Based Targets Tracking in Mobile Wireless Sensor Network

IEEE Internet of Things Journal, 2023
This article presents an environmentally adaptive event-driven robust square root cubature Kalman filter (EAERCKF) for received-signal-strength-based (RSS-based) moving targets tracking in resource-constrained mobile wireless sensor network (MWSN) under ...
Hongbo Zhu, Haibo Wu, Minzhou Luo
semanticscholar   +1 more source

Estimation of Sideslip Angle and Tire Cornering Stiffness Using Fuzzy Adaptive Robust Cubature Kalman Filter

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
The accurate information of sideslip angle (SA) and tire cornering stiffness (TCS) is essential for advanced chassis control systems. However, SA and TCS cannot be directly measured by in-vehicle sensors.
Yan Wang, Keke Geng, Liwei Xu, Yaping Ren, Haoxuan Dong, Guo-dong Yin   +5 more
semanticscholar   +1 more source

Cubature grids

International Journal of Quantum Chemistry, 2004
AbstractThis article applies group theory to the problem of calculating accurate cubature grids for three‐dimensional (3D) integrals that have an exponential weighting factor. The nodes of a cubature are divided into structures, each with the full symmetry of the octahedral group.
D. Rees, G. G. Hall
openaire   +1 more source

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

Applied Energy, 2020
Because of the extensive applications of lithium-ion batteries (LIBs) in electric vehicles (EVs), the battery management system (BMS) used to monitor the state and guarantee the operating safety of LIBs has been widely researched.
Yong Tian, Rucong Lai, Xiaoyu Li, Lijuan Xiang, Jindong Tian   +4 more
semanticscholar   +1 more source

Cubature Kalman Filter With Both Adaptability and Robustness for Tightly-Coupled GNSS/INS Integration

IEEE Sensors Journal, 2021
Tightly-coupled GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) integration is of importance to vehicle positioning. However, this integration technology has difficulty in achieving optimal positioning solutions for the dynamic ...
Bingbing Gao, Gaoge Hu, Y. Zhong, Xinhe Zhu   +3 more
semanticscholar   +1 more source

Dynamic Harmonic Estimation Using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter

IEEE Transactions on Instrumentation and Measurement, 2023
Active filters (AFs) are effective tools for mitigating the detrimental effects of harmonic components on the power systems. The performance of AFs is significantly dependent on designing an accurate and robust estimator which is responsible for ...
Javad Enayati, A. Rahimnejad, L. Vanfretti, S. A. Gadsden, M. Al-Shabi   +4 more
semanticscholar   +1 more source

A Computationally Efficient Outlier-Robust Cubature Kalman Filter for Underwater Gravity Matching Navigation

IEEE Transactions on Instrumentation and Measurement, 2022
Gravity-aided navigation is one of key techniques for the navigation of underwater vehicles. Cubature Kalman filter (CKF)-based matching algorithm improves the positioning accuracy of traditional Sandia inertial terrain aided navigation method.
Zhao Wang, Yulong Huang, Maosong Wang, Jin Wu, Yonggang Zhang   +4 more
semanticscholar   +1 more source

Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration

IEEE/CAA Journal of Automatica Sinica, 2022
Traditional cubature Kalman filter (CKF) is a preferable tool for the inertial navigation system (INS)/global positioning system (GPS) integration under Gaussian noises.
Lujuan Dang, Badong Chen, Yulong Huang, Yonggang Zhang, Haiquan Zhao   +4 more
semanticscholar   +1 more source