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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
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
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
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), 377-379.

Record type: Article

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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More information

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: https://eprints.soton.ac.uk/id/eprint/263545
PURE UUID: 7213882d-e4cb-4019-8e05-87ff7636b8df
ORCID for Neil M. White: ORCID iD orcid.org/0000-0003-1532-6452

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Date deposited: 19 Feb 2007
Last modified: 06 Jun 2018 13:12

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