Nonlinear filtering update phase via the single point truncated unscented Kalman filter

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Nonlinear filtering update phase via the single point truncated unscented Kalman filter

A fast algorithm to approximate the first two moments of the posterior probability density function (pdf) in nonlinear non-Gaussian Bayesian filtering is proposed. If the pdf of the measurement noise has a bounded support and the measurement function is continuous and bijective, we can use a modifie...

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Bibliographic Details
Main Authors:	Garcia Fernandez, Angel, Morelande, M., Grajal, J.
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/53626

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