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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Official URL: http://tinyurl.com/37zx6pv

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:Middlesex University Schools and Centres > School of Science and Technology > Computer and Communications Engineering
Citations on ISI Web of Science:2
ID Code:1724
Deposited On:26 Mar 2009 16:38
Last Modified:30 Jul 2014 15:25

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