Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Sensors
Stefan WerzingerBernhard Schmauss

Abstract

We propose an efficient model-based signal processing approach for optical fiber sensing with fiber Bragg grating (FBG) arrays. A position estimation based on an estimation of distribution algorithm (EDA) and a reflectivity estimation method using a parametric transfer matrix model (TMM) are outlined in detail. The estimation algorithms are evaluated with Monte Carlo simulations and measurement data from an incoherent optical frequency domain reflectometer (iOFDR). The model-based approach outperforms conventional Fourier transform processing, especially near the spatial resolution limit, saving electrical bandwidth and measurement time. The models provide great flexibility and can be easily expanded in complexity to meet different topologies and to include prior knowledge of the sensors. Systematic errors due to crosstalk between gratings caused by multiple reflections and spectral shadowing could be further considered with the TMM to improve the performance of large-scale FBG array sensor systems.

References

Sep 1, 1977·Applied Optics·M K BarnoskiR T Melville
May 15, 1981·Applied Optics·R I Macdonald
Feb 1, 1987·Applied Optics·J NakayamaJ Nielsen
Sep 27, 2012·Sensors·Xiaoyi Bao, Liang Chen

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Software Mentioned

OTDR
MATLAB
IDFT
iOFDR

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