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

© The Institution of Engineering and Technology
Received 27/07/2013, Published

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.

Inspec keywords: Fabry-Perot interferometers; optical resonators; signal processing; fibre optic sensors; pressure sensors

Other keywords: cavity estimation; air-gap length; signal processing-based approach; standard quadrature point amplitude tracking; spectral eigendecomposition-based algorithm; fibre-optic Fabry-Perot pressure sensors; real-time estimation; pressure 6.1 Pa; spectrum mutual correlation matrix

Subjects: Fibre optic sensors; Optical interferometry; Signal processing and detection; Sensing devices and transducers; Sensing and detecting devices; Pressure measurement; Fibre optic sensors; fibre gyros; Pressure and vacuum measurement

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