Results 151 to 160 of about 19,182 (197)

Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter. [PDF]

Sensors (Basel), 2018
Gao B, Hu G, Gao S, Zhong Y, Gu C.
europepmc   +1 more source

A High-Precision, Real-Time, and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter. [PDF]

Sensors (Basel), 2019
Xie Z, Guan W, Zheng J, Zhang X, Chen S, Chen B.   +5 more
europepmc   +1 more source

Adaptive Unscented Kalman Filter Phase Unwrapping Method and Its Application on Gaofen-3 Interferometric SAR Data. [PDF]

Sensors (Basel), 2018
Gao Y, Zhang S, Li T, Chen Q, Li S, Meng P.   +5 more
europepmc   +1 more source

An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces. [PDF]

Front Neurosci, 2016
Li S, Li J, Li Z.
europepmc   +1 more source

Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model. [PDF]

Neuroimage Clin, 2017
Liao R, Ning L, Chen Z, Rigolo L, Gong S, Pasternak O, Golby AJ, Rathi Y, O'Donnell LJ.   +8 more
europepmc   +1 more source

Direct and accelerated parameter mapping using the unscented Kalman filter. [PDF]

Magn Reson Med, 2016
Zhao L, Feng X, Meyer CH.
europepmc   +1 more source

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Unscented Kalman filter of graph signals

Automatica, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenling Li, Xiaoyan Fu, Bin Zhang 0023, Yang Liu 0096   +3 more
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Transformed Unscented Kalman Filter

IEEE Transactions on Automatic Control, 2013
This technical note concerns the deterministic sampling points construction strategy for unscented Kalman filter (UKF) and cubature Kalman filter (CKF). From the numerical-integration viewpoint, a new deterministic sampling points set is derived by orthogonal transformation on the cubature points.
Lubin Chang, Baiqing Hu, An Li, Fangjun Qin   +3 more
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A skewed unscented Kalman filter

International Journal of Control, 2016
ABSTRACTState estimation of nonlinear systems is a challenging task, especially when the Gaussian approximation fails. The unscented Kalman filter was proposed to deal with state estimation of nonlinear systems. We modify the traditional unscented Kalman filter to capture the third-order moment (skewness) of the state vector.
Javad Rezaie, Jo Eidsvik
openaire   +1 more source