Peer-Reviewed Journal Details
Mandatory Fields
Tosi, D,Poeggel, S,Leen, G,Lewis, E
Electronics Letters
Spectral eigendecomposition-based algorithm for cavity estimation in fibre-optic Fabry-Perot pressure sensors
Optional Fields
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
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.
Grant Details