Results 1 to 10 of about 9,283 (151)

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

Advances 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   +4 more sources

An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles [PDF]

Sensors
To enhance the positioning accuracy of autonomous underwater vehicles (AUVs), a new adaptive filtering algorithm (RHAUKF) is proposed. The most widely used filtering algorithm is the traditional Unscented Kalman Filter or the Adaptive Robust UKF (ARUKF).
Jinchao Zhao, Ya Zhang, Shizhong Li, Jiaxuan Wang, Lingling Fang, Luoyin Ning, Jinghao Feng, Jianwu Zhang   +7 more
doaj   +2 more sources

The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds [PDF]

Sensors
Estimating the state of a system by fusing sensor data is a major prerequisite in many applications. When the state is time-variant, derivatives of the Kalman filter are a popular choice for solving that task.
Joachim Clemens, Constantin Wellhausen
doaj   +2 more sources

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
doaj   +1 more source

A Code for Unscented Kalman Filtering on Manifolds (UKF-M) [PDF]

2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering performance, the main interests of the approach are its versatility, as the method applies to numerous state estimation problems, and its simplicity of implementation for ...
Brossard, Martin, Barrau, Axel, Bonnabel, Silvere   +2 more
openaire   +2 more sources

Mechanical speed estimation of a DFIG based on the Unscented Kalman Filter (UKF)

International Journal of Energetica, 2022
This work proposes a new estimation technique for the doubly-fed induction generator (DFIG) variables. Researchers have designed numerous sensorless control strategies for the DFIG used either for mechanical speed, electromagnetic torque, or rotor position estimation.
Hicham Ben Sassi, Khadija Lahrech, Fatima Errahimi, Najia ES-Sbai, Mokhtar Ghodbane   +4 more
openaire   +3 more sources

Unscented Kalman filter (UKF)–based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework [PDF]

Measurement Science and Technology, 2020
To be appeared in Measurement Science and Technology (2020)
Zhao Pan, Yang Zhang, Jonas P R Gustavsson, Jean-Pierre Hickey, Louis N Cattafesta III   +4 more
openaire   +2 more sources

Filtering performance analyizing for Relative Navigation using Single Difference Carrier-Phase GPS [PDF]

Journal of Astronomy and Space Sciences, 2008
Satellite formation flying can provide the platform for interferometric observation to acquire the precise data and ensure the flexibility for space mission.
In-Kwan Park, Sang-Young Park, Kyu-Hong Choi, Sungki Cho, Jong-Uk Park   +4 more
doaj   +1 more source

State Estimation of the Vinyl Acetate Reactor Using Unscented Kalman Filters (UKF) [PDF]

2005 International Conference on Industrial Electronics and Control Applications, 2006
The main objective of our research is to develop several unscented transform techniques (UTT) to estimate the state of the nonlinear processes such as an improvement of an extended Kalman filter (EKF) approach. The extended Kalman filter (EKF) has become a standard nonlinear estimation technique in control systems and parameter estimation for nonlinear
Tudoroiu, N., Khorasani, K.
openaire   +1 more source

The Intuitive Supervision Model (ISM) using Convolution Neural Networks (CNN) and Unscented Kalman Filters (UKF)

International Journal of Recent Technology and Engineering (IJRTE), 2022
Radio frequency identification technology is one of the fastest-growing technologies in the realms of navigation, medical, robotics, communication system, logistics, security, safety, etc. Surveillance is one of the important fields where high accuracy and fast response are needed.
Noopur Soni, Dr. Agya Mishra
openaire   +1 more source