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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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