Results 21 to 30 of about 66,114 (285)
A Unification of Ensemble Square Root Kalman Filters [PDF]
In recent years, several ensemble-based Kalman filter algorithms have been developed that have been classified as ensemble square-root Kalman filters.
Hiller, Wolfgang +3 more
core +1 more source
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
State estimation is widely used in various automated systems, including IoT systems, unmanned systems, robots, etc. In traditional state estimation, measurement data are instantaneous and processed in real time.
Xue-Bo Jin +4 more
doaj +1 more source
Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters
We present two time invariant models for Global Systems for Mobile (GSM) position tracking, which describe the movement in x-axis and y-axis simultaneously or separately.
Nicholas Assimakis, Maria Adam
doaj +1 more source
Non-Linear Filtering for Precise Point Positioning GPS/INS integration [PDF]
This research investigates the performance of non-linear estimation filtering for GPS-PPP/MEMS-based inertial system. Although integrated GPS/INS system involves nonlinear motion state and measurement models, the most common estimation filter employed ...
M. Abd Rabbou, A. El-Rabbany
doaj +1 more source
Application of fractional sensor fusion algorithms for inertial mems sensing
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 +3 more
doaj +1 more source
Comparisons of nonlinear estimators for wastewater treatment plants [PDF]
This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF ...
Abdul Wahab, Hamimi Fadziati Binti +2 more
core +1 more source
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]
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
Wavelet Ensemble Kalman Filters
We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localization.
Beezley, Jonathan D. +2 more
core +1 more source
Adaptive smartphone-based sensor fusion for estimating competitive rowing kinematic metrics. [PDF]
Competitive rowing highly values boat position and velocity data for real-time feedback during training, racing and post-training analysis. The ubiquity of smartphones with embedded position (GPS) and motion (accelerometer) sensors motivates their ...
Cloud, Bryn +7 more
core +1 more source

