Mixture truncated unscented Kalman filtering

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Mixture truncated unscented Kalman filtering

This paper proposes a computationally efficient nonlinear filter that approximates the posterior probability density function (PDF) as a Gaussian mixture. The novelty of this filter lies in the update step. If the likelihood has a bounded support made up of different regions, we can use a modified p...

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Bibliographic Details
Main Authors:	Garcia Fernandez, Angel, Morelande, M., Grajal, J.
Format:	Conference Paper
Published:	2012
Online Access:	http://hdl.handle.net/20.500.11937/63304

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