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


Chorti, Arsenia, Karatzas, Dimosthenis, White, Neil M. and Harris, Chris J. (2006) Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors. Sensor Letters, 4, (4), 377-379.

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Description/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
Keywords: Drift Estimation, Extended Kalman Filter, Nonlinear sensors, sensor modelling
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 263545
Date Deposited: 19 Feb 2007
Last Modified: 27 Mar 2014 20:07
Publisher: American Scientific Publishers
Further Information:Google Scholar
ISI Citation Count:2
URI: http://eprints.soton.ac.uk/id/eprint/263545

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