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

Daniele Tosi, Sven Poeggel, Gabriel Leen, Elfed Lewis

Research output: Contribution to journalArticle

19 Citations (Scopus)

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 languageEnglish
Pages (from-to)144-150
Number of pages7
JournalSensors and Actuators, A: Physical
Volume206
DOIs
Publication statusPublished - Feb 1 2014
Externally publishedYes

Fingerprint

adaptive filters
interrogation
Adaptive filters
Interferometry
Fiber optics
fiber optics
Signal to noise ratio
interferometry
signal to noise ratios
resilience
Adaptive filtering
sensitivity
sensors
Sensors
Pressure sensors
pressure sensors
cavities
estimates

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics
  • Electronic, Optical and Magnetic Materials
  • Metals and Alloys
  • Surfaces, Coatings and Films
  • Instrumentation

Cite this

Adaptive filter-based interrogation of high-sensitivity fiber optic Fabry-Perot interferometry sensors. / Tosi, Daniele; Poeggel, Sven; Leen, Gabriel; Lewis, Elfed.

In: Sensors and Actuators, A: Physical, Vol. 206, 01.02.2014, p. 144-150.

Research output: Contribution to journalArticle

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