Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors.

Chorti, Arsenia and Karatzas, D. and White, Neil and Harris, Chris (2006) Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors. Sensor letters, 4 (4). pp. 377-379. ISSN 1546-198X

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Abstract

A number of mechanisms are responsible for the generation of reversible or irreversible drift in the response of a sensor. In this letter, we discuss three approaches for the identification of reversible state dependent drift in sensors through the use of the Extended Kalman Filter. We compare their performance by simulation and demonstrate their validity by estimating the drift of an accelerometer, modeled as a weakly nonlinear system.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
ISI Impact: 2
Item ID: 1724
Depositing User: Repository team
Date Deposited: 26 Mar 2009 16:38
Last Modified: 15 Feb 2016 15:05
URI: http://eprints.mdx.ac.uk/id/eprint/1724

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