Results 21 to 30 of about 359,270 (146)

Application of fractional sensor fusion algorithms for inertial mems sensing

Mathematical Modelling and Analysis, 2009
The work presents an extension of the conventional Kalman filtering concept for systems of fractional order (FOS). Modifications are introduced using the Grünwald‐Letnikov (GL) definition of the fractional derivative (FD) and corresponding truncation of ...
Michailas Romanovas, Lasse Klingbeil, Martin Traechtler, Yiannos Manoli   +3 more
doaj   +1 more source

The Ensemble Kalman Filter and its Relations to Other Nonlinear Filters [PDF]

, 2015
The Ensemble Kalman filter (EnKF) is a standard algorithm in oceanography and meteorology, where it has got thousands of citations. It is in these communities appreciated since it scales much better with state dimension n than the standard Kalman filter (
Fritsche, Carsten,, Fredrik Gustafison, Hendeby, Gustaf, Fritsche, Carsten, Carsten Fritsche, Gustaf Hendeby, Roth, Michael,, Michael Roth, Gustafsson, Fredrik,, Gustafsson, Fredrik, Hendeby, Gustaf,, Roth, Michael   +11 more
core   +1 more source

Applications of the Kalman Filter in Physical Processes: A Review

Applied Sciences
This article outlines various specialized adaptations of the Kalman Filter designed to address specific estimation challenges across different domains of Physics.
Ioanna Anagnostaki, Vassilis Anastassopoulos, Georgia Koukiou   +2 more
doaj   +1 more source

Robust Land-Surface Parameterisation for Repeated Topographic Surveys in Dynamic Environments with Adaptive State-Space Models

Remote Sensing
The proliferation of unmanned aerial vehicles has enabled cost-effective topographic surveys to be collected at high frequencies. However, terrain analyses rarely take advantage of the information provided by repeated observations.
Daniel R. Newman, Yuichi S. Hayakawa
doaj   +1 more source

Spectral diagonal ensemble Kalman filters [PDF]

Nonlinear Processes in Geophysics, 2015
A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis.
I. Kasanický, J. Mandel, M. Vejmelka
doaj   +1 more source

Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters [PDF]

, 2005
This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit.
Angelova, D., Canagarajah, N., Bull, D., Mihaylova, L.   +3 more
core   +5 more sources

Kalman Filters

, 2018
This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications.

core   +1 more source

Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV

International Journal of Optics, 2022
Flying vehicle’s navigation, direction, and control in real-time results in the design of a strap-down inertial navigation system (INS). The strategy results in low accuracy, performance with correctness.
Tang Xiaoqian, Zhao Feicheng, Tang Zhengbing, Wang Hongying   +3 more
doaj   +1 more source

Estimação de tempos de chegada de ônibus urbano utilizando filtros de Kalman [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Automação e Sistemas.A fim de diminuir congestionamentos, poluição do ar, consumo de combustível, entre outros, tem-se buscado
Gurgel, Felipe Sanches
core  

Robust Filtering for Linear State-space Models with Non-propagating Outliers Following a Mixture of Gaussian Distributions

Austrian Journal of Statistics
The problem of recursive filtering in linear state-space models is considered. The solution to this problem is the classical Kalman filter which is optimal in the sense that it minimizes the variance of the estimated states, if the error processes of ...
Bernhard Spangl
doaj   +1 more source