Results 71 to 80 of about 359,270 (146)

Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors

IEEE Open Journal of Intelligent Transportation Systems
This contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj   +1 more source

Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters. [PDF]

Sensors (Basel), 2023
Alyami L, Panda DK, Das S.
europepmc   +1 more source

2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters. [PDF]

Sensors (Basel), 2022
Urooj A, Dak A, Ristic B, Radhakrishnan R.   +3 more
europepmc   +1 more source

Crack Monitoring in Rotating Shaft Using Rotational Speed Sensor-Based Torsional Stiffness Estimation with Adaptive Extended Kalman Filters. [PDF]

Sensors (Basel), 2023
Park YH, Lee HB, Kim GW.
europepmc   +1 more source

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj   +1 more source

Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters. [PDF]

Sensors (Basel), 2023
Luo W, Zhao Y, Shao Q, Li X, Wang D, Zhang T, Liu F, Duan L, He Y, Wang Y, Zhang G, Wang X, Yu Z.   +12 more
europepmc   +1 more source

Observation-centered Kalman filters

, 2019
Various methods have been proposed for the nonlinear filtering problem, including the extended Kalman filter (EKF), iterated extended Kalman filter (IEKF), unscented Kalman filter (UKF) and iterated unscented Kalman filter (IUKF).
Kent, JT, Bhattacharjee, S, Faber, WR, Hussein, II   +3 more
core   +1 more source

Measurement Noise Covariance-Adapting Kalman Filters for Varying Sensor Noise Situations. [PDF]

Sensors (Basel), 2021
Chhabra A, Venepally JR, Kim D.
europepmc   +1 more source

Comparative study of denoising techniques for 5G communication at 3.5 GHz

Proceedings of the Nigerian Society of Physical Sciences
This paper presents a comparative study of denoising techniques for improving 5G communication at 3.5GHz. A 5G system is simulated in MATLAB with thermal noise, intermodulation noise, and external interference.
Seyi Olukanni, Francis Salifu, Julius Idakwoji, Funsho Omonile   +3 more
doaj   +1 more source

The diffuse ensemble filter [PDF]

Nonlinear Processes in Geophysics, 2009
A new class of ensemble filters, called the Diffuse Ensemble Filter (DEnF), is proposed in this paper. The DEnF assumes that the forecast errors orthogonal to the first guess ensemble are uncorrelated with the latter ensemble and have infinite variance ...
X. Yang, T. DelSole
doaj