Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Pérot pressure sensors

D. Tosi; S. Poeggel; G. Leen; E. Lewis

doi:10.1049/el.2013.2509

Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Pérot pressure sensors

D. Tosi
, S. Poeggel
, G. Leen
, E. Lewis

Department of Electronics & Computer Engineering

University of Limerick

Research output: Contribution to journal › Article › peer-review

Abstract

A novel signal processing-based approach for the real-time estimation of air-gap length in fibre optic extrinsic Fabry-Pérot pressure sensors is presented; the algorithm is based on eigendecomposition of the spectrum mutual correlation matrix. A pressure accuracy of 6.1 Pa (0.045 mmHg) is achieved in a pressure probe with 1.13 nm/kPa sensitivity, highlighting a 6.4 times improvement over standard quadrature point amplitude tracking by just acting on signal processing.

Original language	English
Pages (from-to)	1555-1556
Number of pages	2
Journal	Electronics Letters
Volume	49
Issue number	24
DOIs	https://doi.org/10.1049/el.2013.2509
Publication status	Published - 21 Nov 2013

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10.1049/el.2013.2509

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abstract = "A novel signal processing-based approach for the real-time estimation of air-gap length in fibre optic extrinsic Fabry-P{\'e}rot pressure sensors is presented; the algorithm is based on eigendecomposition of the spectrum mutual correlation matrix. A pressure accuracy of 6.1 Pa (0.045 mmHg) is achieved in a pressure probe with 1.13 nm/kPa sensitivity, highlighting a 6.4 times improvement over standard quadrature point amplitude tracking by just acting on signal processing.",

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AU - Poeggel, S.

AU - Leen, G.

AU - Lewis, E.

PY - 2013/11/21

Y1 - 2013/11/21

N2 - A novel signal processing-based approach for the real-time estimation of air-gap length in fibre optic extrinsic Fabry-Pérot pressure sensors is presented; the algorithm is based on eigendecomposition of the spectrum mutual correlation matrix. A pressure accuracy of 6.1 Pa (0.045 mmHg) is achieved in a pressure probe with 1.13 nm/kPa sensitivity, highlighting a 6.4 times improvement over standard quadrature point amplitude tracking by just acting on signal processing.

AB - A novel signal processing-based approach for the real-time estimation of air-gap length in fibre optic extrinsic Fabry-Pérot pressure sensors is presented; the algorithm is based on eigendecomposition of the spectrum mutual correlation matrix. A pressure accuracy of 6.1 Pa (0.045 mmHg) is achieved in a pressure probe with 1.13 nm/kPa sensitivity, highlighting a 6.4 times improvement over standard quadrature point amplitude tracking by just acting on signal processing.

UR - https://www.scopus.com/pages/publications/84890039523

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DO - 10.1049/el.2013.2509

M3 - Article

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JO - Electronics Letters

JF - Electronics Letters

IS - 24

ER -

Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Pérot pressure sensors

Abstract

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