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Communication Dans Un Congrès Année : 2016

Bias-aware Kalman filtering by mixing H2 and H∞ approaches

Résumé

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∞ 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 H2 Kalman filter and the H∞ 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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Dates et versions

hal-01388964 , version 1 (27-10-2016)

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Philippe Neveux, Eric Blanco. Bias-aware Kalman filtering by mixing H2 and H∞ approaches. CoDIT, IEEE SMC, Apr 2016, Saint Julian's, Malta. ⟨10.1109/CoDIT.2016.7593566⟩. ⟨hal-01388964⟩
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