Outlier rejection methods for robust Kalman filtering

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Outlier rejection methods for robust Kalman filtering

In this paper we discuss efficient methods of the state estimation which are robust against unknown outlier measurements. Unlike existing Kalman filters, we relax the Gaussian assumption of noises to allow sparse outliers. By doing so spikes in channels, sensor failures, or intentional jamming can b...

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Bibliographic Details
Main Authors:	Kim, Du Yong, Lee, S., Jeon, M.
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/56257

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