Results 11 to 20 of about 7,896 (220)
Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter [PDF]
Journal of Astronomy and Space Sciences, 2005 This research supposed when a fictitious KSLV-I space launch vehicle launches from NARO space center. This compared and analyzed the results from real-time trajectory estimation using the Extended Kalman Filter and the Unscented Kalman Filter.
Jeong-Ho Baek +5 more
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FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS [PDF]
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
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Inverse Unscented Kalman Filter [PDF]
IEEE Transactions on Signal ProcessingRapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters. In this setting, a cognitive 'adversary' tracks its target of interest via a stochastic framework such as a Kalman filter (KF).
Himali Singh +2 more
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AN APPROACH ON ADVANCED UNSCENTED KALMAN FILTER FROM MOBILE ROBOT-SLAM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In the past 30 years, Kalman filter is a classical method to solve the problem of simultaneous localization and mapping (SLAM) of mobile robots. Extended Kalman filter (EKF) and unscented Kalman filter (UKF) are derived from Kalman filter.
L. Yan, L. Zhao
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Truncated Unscented Kalman Filtering [PDF]
IEEE Transactions on Signal Processing, 2012 We devise a filtering algorithm to approximate the first two moments of the posterior probability density function (PDF). The novelties of the algorithm are in the update step. If the likelihood has a bounded support, we can use a modified prior distribution that meets Bayes' rule exactly.
García Fernández, Ángel Froilán +2 more
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Quadratic Extended and Unscented Kalman Filter Updates [PDF]
2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)8 pages, 5 figures, 2025 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT ...
Simone Servadio, Chiran Cherian
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Computationally Relaxed Unscented Kalman Filter
IEEE Transactions on Cybernetics, 2023 Advanced robotics and autonomous vehicles rely on filtering and sensor fusion techniques to a large extent. These mobile applications need to handle the computations onboard at high rates while the computing capacities are limited. Therefore, any improvement that lowers the CPU time of the filtering leads to more accurate control or longer battery ...
József Kuti +3 more
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The Geometric Unscented Kalman Filter
CoRR, 2020 Many filters have been proposed in recent decades for the nonlinear state estimation problem. The linearization-based extended Kalman filter (EKF) is widely applied to nonlinear industrial systems. As EKF is limited in accuracy and reliability, sequential Monte-Carlo methods or particle filters (PF) can obtain superior accuracy at the cost of a huge ...
Chengling Fang +3 more
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IEEE Access, 2020 This study introduces a fuzzy based optimal state estimation approach. The new method is based on two principles: Adaptive Unscented Kalman filter, and Fuzzy Adaptive Grasshopper Optimization Algorithm. The approach is designed for the optimization of an
Reza Mohammadi Asl +3 more
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Machines, 2023 This paper analyzes the performance of Kalman filter-based estimators for robust filtering and rotor asymmetry detection in wound rotor induction machines (WRIMs) using real-time data. Filter models were designed based on an extended model of WRIMs.
Furzana John Basha, Kumar Somasundaram
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