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.
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.
|Keywords:||Drift Estimation, Extended Kalman Filter, Nonlinear sensors, sensor modelling|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||19 Feb 2007|
|Last Modified:||31 Mar 2016 14:07|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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