Results 41 to 50 of about 9,303 (171)

A Novel Extended Unscented Kalman Filter Is Designed Using the Higher-Order Statistical Property of the Approximate Error of the System Model

Actuators
In the actual working environment, most equipment models present nonlinear characteristics. For nonlinear system filtering, filtering methods such as the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Cubature Kalman Filter (CKF) have ...
Chengyi Li, Chenglin Wen
doaj   +1 more source

Distributed Acoustic Source Tracking in Noisy and Reverberant Environments With Distributed Microphone Networks

IEEE Access, 2020
In this paper, an improved distributed unscented Kalman particle filter (DUKPF) is proposed for the problem of tracking a single moving acoustic source in noisy and reverberant environments with distributed microphone networks.
Qiaoling Zhang, Weiwei Zhang, Jie Feng, Roubing Tang   +3 more
doaj   +1 more source

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

Fractal and Fractional, 2022
The accuracy of the state-of-charge (SOC) estimation of lithium batteries affects the battery life, driving performance, and the safety of electric vehicles.
Liping Chen, Xiaobo Wu, José A. Tenreiro Machado, António M. Lopes, Penghua Li, Xueping Dong   +5 more
doaj   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

Accuracy Evaluation of Marginalized Unscented Kalman Filter

Space: Science & Technology, 2023
Compared with a conventional unscented Kalman filter (UKF), the recently proposed marginalized unscented Kalman filter (MUKF) uses a partially sampling strategy to achieve similar filter accuracy with fewer sigma points, demonstrating its powerful ...
Han Yan, Hanyu Liu, Xiucong Sun, Ming Xu
doaj   +1 more source

SKEMA AKAR KUADRAT DALAM UNSCENTED KALMAN FILTER UNTUK MENDETEKSI KERAK PADA ALAT PENUKAR PANAS [PDF]

, 2011
Filter Kalman adalah suatu algoritma yang digunakan untuk mengestimasi variabel keadaan pada sistem linier. Sedangkan untuk sistem taklinier Filter Kalman tidak dapat digunakan secara langsung.
Erna, Apriliani, Tholib, M.
core  

Unscented Orientation Estimation Based on the Bingham Distribution [PDF]

, 2013
Orientation estimation for 3D objects is a common problem that is usually tackled with traditional nonlinear filtering techniques such as the extended Kalman filter (EKF) or the unscented Kalman filter (UKF).
Gilitschenski, Igor, Hanebeck, Uwe D., Julier, Simon J., Kurz, Gerhard   +3 more
core   +1 more source

The Unscented Kalman Filter With Reduced Computation Time for Estimating the Attitude of the Attitude and Heading Reference System

IEEE Journal of Indoor and Seamless Positioning and Navigation
The algorithms of the Kalman filters have been used in many papers on the Pedestrian Dead Reckoning (PDR) and attitude estimation for the attitude and heading reference system (AHRS).
Shunsei Yamagishi, Lei Jing
doaj   +1 more source

Statistical Inference in the Duffing System with the Unscented Kalman Filter [PDF]

, 2017
We investigate the accuracy of inference in a chaotic dynamical sys- tem (Duffing oscillator) with the Unscented Kalman Filter, and quantify the dependence on the sample size, the signal to noise ratio and the ...
Husmeier, Dirk, Luati, Alessandra, Noè, Umberto, Pasetto, Michela Eugenia   +3 more
core  

Unscented Kalman Filters for Riemannian State-Space Systems

, 2018
Unscented Kalman Filters (UKFs) have become popular in the research community. Most UKFs work only with Euclidean systems, but in many scenarios it is advantageous to consider systems with state-variables taking values on Riemannian manifolds.
Ishihara, João Y., Kussaba, Hugo T. M., Menegaz, Henrique M. T.   +2 more
core   +1 more source