Results 91 to 100 of about 63,163 (313)

Interacting Multiple Model (IMM) Fifth-Degree Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking

Sensors, 2017
For improving the tracking accuracy and model switching speed of maneuvering target tracking in nonlinear systems, a new algorithm named the interacting multiple model fifth-degree spherical simplex-radial cubature Kalman filter (IMM5thSSRCKF) is ...
Hua Liu, Wen Wu
doaj   +1 more source

Performance Criteria and Example Parameter Sets Comparing Different Variants of the Ensemble Kalman Filter as Applied to Volcanology

, 2022
J. A. Albright, P. M. Gregg
openalex   +1 more source

Leader–Follower Approach for Non-Holonomic Mobile Robots Based on Extended Kalman Filter Sensor Data Fusion and Extended On-Board Camera Perception Controlled with Behavior Tree [PDF]

, 2023
Arpit Joon, Wojciech Kowalczyk
openalex   +1 more source

Impacts of atmospheric river reconnaissance dropsondes on ECMWF Integrated Forecasting System precipitation forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Impacts of Atmospheric River Reconnaissance dropsonde observations on precipitation forecasts over the U.S. West Coast are examined in the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using observing‐system experiments.
Jia Wang, David A. Lavers, Luca Delle Monache, Bruce Ingleby, Minghua Zheng, Xingren Wu, Fred Martin Ralph, Florian Pappenberger   +7 more
wiley   +1 more source

Exploring strongly coupled land/atmosphere data assimilation for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Soil moisture and soil temperature can be analyzed effectively in a numerical weather prediction system by expanding the atmospheric ensemble‐based data assimilation to update the soil states also. The best results were obtained here using a strongly coupled land/atmosphere data assimilation to assimilate the standard atmospheric observations plus ...
Clara Draper, Jeffrey Whitaker, Michael Barlage   +2 more
wiley   +1 more source

Experimental validation of a Kalman observer using linearized OpenFAST and a fully instrumented 1:70 model

Wind Energy
To enable real‐time monitoring and control strategies for floating offshore wind turbines, accurate information about the state of the system is needed.
Ian Ammerman, Yuksel Alkarem, Richard Kimball, Kimberly Huguenard, Babak Hejrati   +4 more
doaj   +1 more source

A Reduced Order Kalman Filter for Computational Fluid-Dynamics Applications [PDF]

, 2018
Carolina Introini, Stefano Lorenzi, Antonio Cammi, Davide Baroli   +3 more
openalex   +1 more source

Design of a High-Order Kalman Filter for State and Measurement of A Class of Nonlinear Systems Based on Kronecker Product Augmented Dimension [PDF]

, 2023
Deyan Peng, Chenglin Wen, Meilei Lv
openalex   +1 more source

Improving convection‐permitting all‐sky infrared radiance ensemble data assimilation through mitigating deleterious non‐Gaussian artifacts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Ensemble Kalman filters (EnKFs) with quality control (QC) are commonly used in the data assimilation (DA) of all‐sky satellite‐sensed infrared radiance (IR) observations. However, the statistical assumptions underlying EnKFs and QC are violated in such DA.
Man‐Yau Chan
wiley   +1 more source

Kalman filter and extended Kalman filter

, 2017
In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
openaire   +1 more source