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

20 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

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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

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

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