Results 41 to 50 of about 1,965 (164)

Localization of passive UHF RFID Labels with Kalman Filter [PDF]

open access: yesAdvances in Radio Science, 2012
Localization via Radio Frequency Identification (RFID) is frequently used in different applications nowadays. It has the advantage that next to its ostensible purpose of identifying objects via their unique IDs it can simultaneously be used for the ...
T. Nick, J. Götze
doaj   +1 more source

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

open access: yesSensors, 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   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

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

open access: yesFractal 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   +5 more
doaj   +1 more source

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

open access: yesCAAI 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 0013   +2 more
openaire   +2 more sources

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

open access: yesGlobal 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   +1 more
doaj   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

Accuracy Evaluation of Marginalized Unscented Kalman Filter

open access: yesSpace: 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

Data-Driven Intrusion Detection in Vehicles: Integrating Unscented Kalman Filter (UKF) with Machine Learning

open access: yesProceedings of the 21st International Conference on Informatics in Control, Automation and Robotics
Accepted in Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 714-723.
Shuhao Bian   +3 more
openaire   +2 more sources

Comparative Analysis of the Performances of a Nonlinear Observer and Nonlinear Kalman Filters in the Presence of Non‐Gaussian Disturbances

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 7, Page 3896-3913, 10 May 2026.
ABSTRACT This paper focuses on state estimation for a fairly general class of systems, involving nonlinear functions and disturbances in both the process dynamics and output equations. A nonlinear observer that satisfies a H∞$$ {\boldsymbol{H}}_{\boldsymbol{\infty}} $$ disturbance attenuation constraint in addition to providing asymptotic stability in ...
Hamidreza Movahedi   +2 more
wiley   +1 more source

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