Results 61 to 70 of about 1,778,758 (298)
Target Tracking in Non-Gaussian Environment [PDF]
, 2006 Masreliez filter which is a Kalman type of recursive filter is implemented and validated. The main computation in Masreliez filter is to evaluate the score function which directly influences the estimates of the target states.
Kashyap, SK, Shantha Kumar, N
core +1 more source
FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019 The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj
arXiv, 2021 The Kalman filter is a fundamental filtering algorithm that fuses noisy sensory data, a previous state estimate, and a dynamics model to produce a principled estimate of the current state. It assumes, and is optimal for, linear models and white Gaussian noise. Due to its relative simplicity and general effectiveness, the Kalman filter is widely used in
arxiv
Kalman Filtering with Unknown Noise Covariances [PDF]
, 2006 Since it is often difficult to identify the noise covariances for a Kalman filter, they are commonly considered design variables. If so, we can as well try to choose them so that the corresponding Kalman filter has some nice form.
Nilsson, Martin
core +1 more source
Proceedings of the National Academy of Sciences, 2001 The Kalman Filter commonly employed by control engineers and other physical scientists has been successfully used in such diverse areas as the processing of signals in aerospace tracking and underwater sonar, and statistical quality control. More recently, it has been used in some nonengineering applications such as short-term forecasting, time series,
openaire +3 more sources
PENAKSIRAN KESENJANGAN OUTPUT INDONESIA: APLIKASI METODE KALMAN FILTER DAN HODRICK-PRESCOTT FILTER
Journal of Indonesian Applied Economics, 2012 This  research will measure  the potential output  in  Indonesia using Kalman-filterand Hodrick-Prescott Filter. The model will  observe  the variations of output  gapand inflation in Indonesia.
Teguh Hadi Priyono
doaj +1 more source
Closed Loop Subspace Identification [PDF]
Modeling, Identification and Control, 2005 A new three step closed loop subspace identifications algorithm based on an already existing algorithm and the Kalman filter properties is presented. The Kalman filter contains noise free states which implies that the states and innovation are uneorre ...
Geir W. Nilsen, David Di Ruscio
doaj +1 more source
Energies, 2023 Research on batteries’ State of Charge (SOC) estimation for equivalent circuit models based on the Kalman Filter (KF) framework and machine learning algorithms remains relatively limited.
Hongyuan Yuan +3 more
doaj +1 more source
Quadrature Kalman filter–based state of charge estimation for lithium-ion battery
Advances in Mechanical Engineering, 2020 This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang +4 more
doaj +1 more source
Alternate Derivation of Geometric Extended Kalman Filter by MEKF Approach [PDF]
arXiv, 2017 This note is devoted to deriving the measurement update of the geometric extended Kalman filter using the multiplicative extended Kalman filtering approach, resulting in the attitude estimator referred as geometric multiplicative extended Kalman filter.
arxiv