Adaptive filter-based interrogation of high-sensitivity fiber optic Fabry-Perot interferometry sensors

Daniele Tosi; Sven Poeggel; Gabriel Leen; Elfed Lewis

doi:10.1016/j.sna.2013.12.010

Adaptive filter-based interrogation of high-sensitivity fiber optic Fabry-Perot interferometry sensors

Daniele Tosi, Sven Poeggel, Gabriel Leen, Elfed Lewis

University of Limerick

Research output: Contribution to journal › Article › peer-review

Abstract

A novel method for interrogation of fiber-optic Fabry-Perot interferometric (FPI) sensors arranged in a white-light setup is presented. The proposed approach is based on a recursive least square (RLS) adaptive filtering to estimate the length of the Fabry-Perot cavity. Applied to an extrinsic FPI sensor with 1.6 nm/kPa sensitivity, the interrogation method achieves pressure accuracy of 6.1 Pa (0.045 mmHg), with an improvement of 8.7 times over standard Q-point tracking method at no computational expense. The RLS-based algorithm also exhibits better resilience to low signal-to-noise ratio (SNR) conditions, achieving 0.87 mmHg accuracy for SNR = -5.0 dB. The proposed approach finds its best application in medical pressure sensors, for sub-mmHg in vivo pressure detection, and is based on a biocompatible FPI design.

Original language	English
Pages (from-to)	144-150
Number of pages	7
Journal	Sensors and Actuators, A: Physical
Volume	206
DOIs	https://doi.org/10.1016/j.sna.2013.12.010
Publication status	Published - 1 Feb 2014

Keywords

Adaptive filter
Extrinsic Fabry-Perot interferometry (EFPI)
Fiber optic sensors (FOS)
Fiber-optic pressure sensor
Pressure sensor
Recursive least square (RLS)

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10.1016/j.sna.2013.12.010

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title = "Adaptive filter-based interrogation of high-sensitivity fiber optic Fabry-Perot interferometry sensors",

abstract = "A novel method for interrogation of fiber-optic Fabry-Perot interferometric (FPI) sensors arranged in a white-light setup is presented. The proposed approach is based on a recursive least square (RLS) adaptive filtering to estimate the length of the Fabry-Perot cavity. Applied to an extrinsic FPI sensor with 1.6 nm/kPa sensitivity, the interrogation method achieves pressure accuracy of 6.1 Pa (0.045 mmHg), with an improvement of 8.7 times over standard Q-point tracking method at no computational expense. The RLS-based algorithm also exhibits better resilience to low signal-to-noise ratio (SNR) conditions, achieving 0.87 mmHg accuracy for SNR = -5.0 dB. The proposed approach finds its best application in medical pressure sensors, for sub-mmHg in vivo pressure detection, and is based on a biocompatible FPI design.",

keywords = "Adaptive filter, Extrinsic Fabry-Perot interferometry (EFPI), Fiber optic sensors (FOS), Fiber-optic pressure sensor, Pressure sensor, Recursive least square (RLS)",

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doi = "10.1016/j.sna.2013.12.010",

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AU - Tosi, Daniele

AU - Poeggel, Sven

AU - Leen, Gabriel

AU - Lewis, Elfed

PY - 2014/2/1

Y1 - 2014/2/1

N2 - A novel method for interrogation of fiber-optic Fabry-Perot interferometric (FPI) sensors arranged in a white-light setup is presented. The proposed approach is based on a recursive least square (RLS) adaptive filtering to estimate the length of the Fabry-Perot cavity. Applied to an extrinsic FPI sensor with 1.6 nm/kPa sensitivity, the interrogation method achieves pressure accuracy of 6.1 Pa (0.045 mmHg), with an improvement of 8.7 times over standard Q-point tracking method at no computational expense. The RLS-based algorithm also exhibits better resilience to low signal-to-noise ratio (SNR) conditions, achieving 0.87 mmHg accuracy for SNR = -5.0 dB. The proposed approach finds its best application in medical pressure sensors, for sub-mmHg in vivo pressure detection, and is based on a biocompatible FPI design.

AB - A novel method for interrogation of fiber-optic Fabry-Perot interferometric (FPI) sensors arranged in a white-light setup is presented. The proposed approach is based on a recursive least square (RLS) adaptive filtering to estimate the length of the Fabry-Perot cavity. Applied to an extrinsic FPI sensor with 1.6 nm/kPa sensitivity, the interrogation method achieves pressure accuracy of 6.1 Pa (0.045 mmHg), with an improvement of 8.7 times over standard Q-point tracking method at no computational expense. The RLS-based algorithm also exhibits better resilience to low signal-to-noise ratio (SNR) conditions, achieving 0.87 mmHg accuracy for SNR = -5.0 dB. The proposed approach finds its best application in medical pressure sensors, for sub-mmHg in vivo pressure detection, and is based on a biocompatible FPI design.

KW - Adaptive filter

KW - Extrinsic Fabry-Perot interferometry (EFPI)

KW - Fiber optic sensors (FOS)

KW - Fiber-optic pressure sensor

KW - Pressure sensor

KW - Recursive least square (RLS)

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JO - Sensors and Actuators, A: Physical

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ER -

Adaptive filter-based interrogation of high-sensitivity fiber optic Fabry-Perot interferometry sensors

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Keywords

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