Results 21 to 30 of about 404 (153)

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

Energies, 2019
An accurate state of charge (SOC) estimation is vital for safe operation and efficient management of lithium-ion batteries. To improve the accuracy and robustness, an adaptive and robust square root cubature Kalman filter based on variational Bayesian ...
Jing Hou, He He, Yan Yang, Tian Gao, Yifan Zhang   +4 more
doaj   +4 more sources

InSAR Phase Unwrapping Based on Square-Root Cubature Kalman Filter [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In this article, we propose a novel phase unwrapping method termed the square-root cubature Kalman filter phase unwrapping (SCKFPU) method. Specifically, as the system model of the interferometric synthetic aperture (InSAR) phase unwrapping can be ...
Xiaomei Luo, Hongtao Li, Zhilong Dong, Shengqi Zhu   +3 more
doaj   +2 more sources

A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking [PDF]

Sensors
Measurement outliers remain a major source of performance degradation in nonlinear bearings-only target tracking, where a few corrupted observations can produce large innovations and even trigger filter divergence.
Chaoqi Li, Hao Wu, Guoxu Zeng, Minbo Yang, Yijie Zhao, Ali Mehmood   +5 more
doaj   +2 more sources

Aircraft trajectory filtering method based on Gaussian‐sum and maximum correntropy square‐root cubature Kalman filter [PDF]

Cognitive Computation and Systems, 2022
Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper.
Jing G. Bai, Quan B. Ge, Hong Li, Jian M. Xiao, Yuan L. Wang   +4 more
doaj   +2 more sources

Maximum Correntropy Square-Root Cubature Kalman Filter with State Estimation for Distributed Drive Electric Vehicles

Applied Sciences, 2023
For nonlinear systems, both the cubature Kalman filter (CKF) and square-root cubature Kalman filter (SCKF) can get good estimation performance under Gaussian noise. However, the actual driving environment noise mostly has non-Gaussian properties, leading
Pingshu Ge, Ce Zhang, Tao Zhang, Lie Guo, Qingyang Xiang   +4 more
doaj   +3 more sources

Square Root Cubature Kalman Filter-Kalman Filter Algorithm for Intelligent Vehicle Position Estimate

Procedia Engineering, 2016
AbstractA new filtering algorithm, adaptive square root cubature Kalman filter-Kalman filter (SRCKF-KF) is proposed to reduce the problems of amount of calculation, complex formula-transform, low accuracy, poor convergence or even divergence. The method uses cubature Kalman filter (CKF) to estimate the nonlinear states of model while its linear states ...
Duan, Jianmin, Shi, Hui, Liu, Dan, Yu, Hongxiao   +3 more
exaly   +2 more sources

A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter

Energies, 2018
State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries.
Xiangyu Cui, Zhu Jing, Maji Luo, Yazhou Guo, Huimin Qiao   +4 more
doaj   +3 more sources

Vehicle State Estimation Using Interacting Multiple Model Based on Square Root Cubature Kalman Filter

Applied Sciences, 2021
The distributed drive arrangement form has better potential for cooperative control of dynamics, but this drive arrangement form increases the parameter acquisition workload of the control system and increases the difficulty of vehicle control ...
Wan Wenkang, Feng Jingan, Song Bao, Li Xinxin   +3 more
doaj   +3 more sources

Research on Navigation Method for Subsea Drilling Robot Based on Inertial Navigation and Odometry [PDF]

Sensors
This paper proposes a robust navigation method based on a robust square-root cubature Kalman filter (RSRCKF) to address the accuracy divergence of integrated navigation systems caused by drilling-induced slippage and the mismatch between the tail-cable ...
Yingjie Liu, Peng Zhou, Feng Xiao, Chenyang Li, Junhui Li, Jiawang Chen, Ziqiang Ren   +6 more
doaj   +2 more sources

Adaptive Strong Tracking Square-Root Cubature Kalman Filter for Maneuvering Aircraft Tracking

IEEE Access, 2018
A novel strong tracking square-root cubature Kalman filter (SCKF) based on the adaptive current statistical (CS) model is proposed aiming at the maneuvering aircraft tracking problem.
Haowei Zhang, Junwei Xie, Jiaang Ge, Wenlong Lu, Binfeng Zong   +4 more
doaj   +2 more sources