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

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

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)1555-1556
Number of pages2
JournalElectronics Letters
Volume49
Issue number24
DOIs
Publication statusPublished - Nov 21 2013
Externally publishedYes

Fingerprint

Pressure sensors
Fiber optics
Signal processing
Air

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Pérot pressure sensors. / Tosi, D.; Poeggel, S.; Leen, G.; Lewis, E.

In: Electronics Letters, Vol. 49, No. 24, 21.11.2013, p. 1555-1556.

Research output: Contribution to journalArticle

@article{674018a041ed4e99ab42bef0f7efd4b1,
title = "Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-P{\'e}rot pressure sensors",
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.",
author = "D. Tosi and S. Poeggel and G. Leen and E. Lewis",
year = "2013",
month = "11",
day = "21",
doi = "10.1049/el.2013.2509",
language = "English",
volume = "49",
pages = "1555--1556",
journal = "Electronics Letters",
issn = "0013-5194",
publisher = "Institution of Engineering and Technology",
number = "24",

}

TY - JOUR

T1 - Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Pérot pressure sensors

AU - Tosi, D.

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 - http://www.scopus.com/inward/record.url?scp=84890039523&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84890039523&partnerID=8YFLogxK

U2 - 10.1049/el.2013.2509

DO - 10.1049/el.2013.2509

M3 - Article

VL - 49

SP - 1555

EP - 1556

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 24

ER -