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M-estimate Based Kalman Filter with Immunity to Outliers

Pang Xiao-nan

Open publisher page 2 citations

Abstract

The influence of the outliers on the Kalman filter is analyzed.A method based on M-estimate dealing with outliers is proposed.The method has the immunity to not only single outlier but also a mass of outliers.Simulation test has validated this method.

About this research paper

What this paper is about

The influence of the outliers on the Kalman filter is analyzed.A method based on M-estimate dealing with outliers is proposed.The method has the immunity to not only single outlier but also a mass of outliers.Simulation test has validated this method.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The influence of the outliers on the Kalman filter is analyzed.A method based on M-estimate dealing with outliers is proposed.The method has the immunity to not only single outlier but also a mass of outliers.Simulation test has validated this method.

Key concepts: Outlier, Kalman filter, Extended Kalman filter, Computer science, Filter (signal processing), Invariant extended Kalman filter, Fast Kalman filter, Mathematics

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