Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors
Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors
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.
Drift Estimation, Extended Kalman Filter, Nonlinear sensors, sensor modelling
377-379
Chorti, Arsenia
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Karatzas, Dimosthenis
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White, Neil M.
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Harris, Chris J.
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December 2006
Chorti, Arsenia
d1ba1c4d-0b09-480d-8984-7a933ace7e87
Karatzas, Dimosthenis
4d7e3927-2252-4039-88a4-0daca766e943
White, Neil M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Harris, Chris J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
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), .
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.
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SENSLET2006_Chorti.pdf
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Published date: December 2006
Keywords:
Drift Estimation, Extended Kalman Filter, Nonlinear sensors, sensor modelling
Organisations:
EEE, Southampton Wireless Group
Identifiers
Local EPrints ID: 263545
URI: http://eprints.soton.ac.uk/id/eprint/263545
PURE UUID: 7213882d-e4cb-4019-8e05-87ff7636b8df
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Date deposited: 19 Feb 2007
Last modified: 15 Mar 2024 02:41
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Contributors
Author:
Arsenia Chorti
Author:
Dimosthenis Karatzas
Author:
Neil M. White
Author:
Chris J. Harris
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