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), pp. 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
Organisations: EEE, Southampton Wireless Group
ePrint ID: 263545
Date :
Date Event
December 2006Published
Date Deposited: 19 Feb 2007
Last Modified: 17 Apr 2017 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/263545

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