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Improved FBG interrogator considering FFP filter nonlinearity and investigation into performance limit
Author(s) -
Jeong SeongYong,
Choi SangJin,
Pan JaeKyung
Publication year - 2020
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2018.5423
Subject(s) - fiber bragg grating , filter (signal processing) , optics , noise (video) , materials science , calibration , repeatability , standard deviation , wavelength , physics , mathematics , engineering , statistics , computer science , electrical engineering , artificial intelligence , image (mathematics)
The authors propose and experimentally demonstrate a calibration process unit for mitigating the effects of nonlinearity and dependence on the ambient temperature for the fibre Fabry–Perot (FFP) filter. Additionally, the performance limits of the peak detection process unit based on the maximum detection algorithm according to the noise and the characteristics of the fibre Bragg grating (FBG) and FFP filter are presented. The experimental results obtained without and with the calibration process unit exhibited an average absolute error of <93.0 and 7.34 pm, respectively. The repeatability test results for the FBG interrogator showed an absolute error <2.19 pm. To investigate the performance limits of the peak detection process unit, the Bragg wavelength with variations in the noise of both the FBG reflection spectrum and the FFP filter transmission spectrum and with different characteristics of the FBG and the FFP filter were calculated. The calculated results for the given parameters show that the error of the mean value and the standard deviation increase with decreasing signal‐to‐noise ratios of both the FBG and FFP filter. Additionally, it was confirmed that the errors increase with the increase of the full‐widths at half‐maximum of both the FFP filter and the FBG and with the decrease of the Bragg wavelength intervals.

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