KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling

Daniele Tosi

doi:10.1109/LPT.2015.2454300

KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling

Daniele Tosi

Department of Electrical and Computer Engineering

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

18 Citations (Scopus)

Abstract

An algorithm based on Karhunen-Loeve transform (KLT) for accurate tracking of fiber Bragg grating (FBG) sensors is presented. The routine is based on main eigenvalue analysis of the KLT applied to the Fourier transform of the FBG spectrum. The algorithm achieves sub-picometer accuracy, down to 4.9 fm, when applied to coarse (156 pm) wavelength sampling, providing accuracy superior to correlation-based algorithms. Experimental validation has been carried out in a climatic chamber. The proposed algorithm can be applied to any off-the-shelf white-light setup for FBG interrogation, and is compatible with 100-1-kHz operation.

Original language	English
Article number	7154433
Pages (from-to)	2134-2137
Number of pages	4
Journal	IEEE Photonics Technology Letters
Volume	27
Issue number	20
DOIs	https://doi.org/10.1109/LPT.2015.2454300
Publication status	Published - Oct 15 2015

Keywords

FBG demodulation
Fiber Bragg grating (FBG)
Karhunen-Loeve transform (KLT)
digital signal processing
fiber optic sensors (FOS)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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KW - Karhunen-Loeve transform (KLT)

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KW - fiber optic sensors (FOS)

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KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling

Abstract

Keywords

ASJC Scopus subject areas

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