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

被引：0

作者：

Tosi, D. ^{[1
]}

Poeggel, S. ^{[1
]}

Leen, G. ^{[1
]}

Lewis, E. ^{[1
]}

机构：

[1] Univ Limerick, Opt Fibre Sensors Res Ctr, Limerick, Ireland

来源：

ELECTRONICS LETTERS | 2013年 / 49卷 / 24期

基金：

爱尔兰科学基金会;

关键词：

Fabry-Perot interferometers; fibre optic sensors; optical resonators; pressure sensors; signal processing; spectral eigendecomposition-based algorithm; cavity estimation; fibre-optic Fabry-Perot pressure sensors; signal processing-based approach; real-time estimation; air-gap length; spectrum mutual correlation matrix; standard quadrature point amplitude tracking; pressure; 6; 1; Pa;

D O I：

10.1049/el.2013.2509

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel signal processing-based approach for the real-time estimation of air-gap length in fibre optic extrinsic Fabry-Perot 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.

引用

页码：1555 / +

页数：2

共 7 条

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