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 | |
| Publication status | Published - Oct 15 2015 |
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Keywords
- digital signal processing
- FBG demodulation
- Fiber Bragg grating (FBG)
- fiber optic sensors (FOS)
- Karhunen-Loeve transform (KLT)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
Cite this
KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling. / Tosi, Daniele.
In: IEEE Photonics Technology Letters, Vol. 27, No. 20, 7154433, 15.10.2015, p. 2134-2137.Research output: Contribution to journal › Article
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TY - JOUR
T1 - KLT-Based Algorithm for Sub-Picometer Accurate FBG Tracking with Coarse Wavelength Sampling
AU - Tosi, Daniele
PY - 2015/10/15
Y1 - 2015/10/15
N2 - 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.
AB - 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.
KW - digital signal processing
KW - FBG demodulation
KW - Fiber Bragg grating (FBG)
KW - fiber optic sensors (FOS)
KW - Karhunen-Loeve transform (KLT)
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UR - http://www.scopus.com/inward/citedby.url?scp=84946074999&partnerID=8YFLogxK
U2 - 10.1109/LPT.2015.2454300
DO - 10.1109/LPT.2015.2454300
M3 - Article
AN - SCOPUS:84946074999
VL - 27
SP - 2134
EP - 2137
JO - IEEE Photonics Technology Letters
JF - IEEE Photonics Technology Letters
SN - 1041-1135
IS - 20
M1 - 7154433
ER -