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Bias-aware Kalman filtering by mixing H-2 and H-infinity approaches

Abstract : In the present article, an alternative methodology is presented to tackle the filtering problem in presence of unknown bias. The basic idea is to construct an H-infinity estimator of the estimation error due to the unknown bias. The bias aware filter can be implemented by means of two filters, namely the standard H-2 Kalman filter and the H-infinity estimation error estimator. On the other hand, the bias aware filter can also be implemented as a single filter. Depending on user's need, one or the other implementation can be done.
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https://hal.inrae.fr/hal-02742475
Contributor : Migration Prodinra <>
Submitted on : Wednesday, June 3, 2020 - 4:11:26 AM
Last modification on : Monday, September 13, 2021 - 2:44:03 PM

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Philippe Neveux, Eric Blanco. Bias-aware Kalman filtering by mixing H-2 and H-infinity approaches. CoDIT, IEEE., Apr 2016, St Pauls Bay, Malta. ⟨hal-02742475⟩

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