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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 6 — Mar. 24, 2014
  • pp: 7099–7112

A novel fast phase correlation algorithm for peak wavelength detection of fiber Bragg grating sensors

A. Lamberti, S. Vanlanduit, B. De Pauw, and F. Berghmans  »View Author Affiliations

Optics Express, Vol. 22, Issue 6, pp. 7099-7112 (2014)

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Fiber Bragg Gratings (FBGs) can be used as sensors for strain, temperature and pressure measurements. For this purpose, the ability to determine the Bragg peak wavelength with adequate wavelength resolution and accuracy is essential. However, conventional peak detection techniques, such as the maximum detection algorithm, can yield inaccurate and imprecise results, especially when the Signal to Noise Ratio (SNR) and the wavelength resolution are poor. Other techniques, such as the cross-correlation demodulation algorithm are more precise and accurate but require a considerable higher computational effort. To overcome these problems, we developed a novel fast phase correlation (FPC) peak detection algorithm, which computes the wavelength shift in the reflected spectrum of a FBG sensor. This paper analyzes the performance of the FPC algorithm for different values of the SNR and wavelength resolution. Using simulations and experiments, we compared the FPC with the maximum detection and cross-correlation algorithms. The FPC method demonstrated a detection precision and accuracy comparable with those of cross-correlation demodulation and considerably higher than those obtained with the maximum detection technique. Additionally, FPC showed to be about 50 times faster than the cross-correlation. It is therefore a promising tool for future implementation in real-time systems or in embedded hardware intended for FBG sensor interrogation.

© 2014 Optical Society of America

OCIS Codes
(050.2770) Diffraction and gratings : Gratings
(060.2370) Fiber optics and optical communications : Fiber optics sensors
(070.4790) Fourier optics and signal processing : Spectrum analysis
(070.7145) Fourier optics and signal processing : Ultrafast processing

ToC Category:

Original Manuscript: December 11, 2013
Revised Manuscript: February 12, 2014
Manuscript Accepted: February 16, 2014
Published: March 19, 2014

A. Lamberti, S. Vanlanduit, B. De Pauw, and F. Berghmans, "A novel fast phase correlation algorithm for peak wavelength detection of fiber Bragg grating sensors," Opt. Express 22, 7099-7112 (2014)

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  1. K.O. Hill, Y. Fujii, D. C. Johnsen, B. S. Kawasaki, “Photosensitivity in optical fiber waveguides: Application to reflection filter fabrication,” Appl. Phys. Lett. 32, 647–649 (1978). [CrossRef]
  2. G. Meltz, W. W. Morey, W. H. Glenn, “Formation of Bragg gratings in optical fibers by a transverse folographic method,” Opt. Lett. 14, 823–825 (1989). [CrossRef] [PubMed]
  3. K. O. Hill, G. Meltz, “Fiber Bragg grating technology fundamentals and overview,” J. Lightwave Technol. 15(8), 1263–1276 (1997). [CrossRef]
  4. A. D. Kersey, M. A. Davis, H. J. Patrick, M. LeBlanc, K. P. Koo, C. G. Askins, M. A. Putnam, E. J. Friebele, “Fiber grating sensors,” J. Lightwave Technol. 15(8), 1442–1463 (1997). [CrossRef]
  5. Y. Yu, H. Tam, W. Chung, M. S. Demokan, “Fiber Bragg grating sensor for simultaneous measurements of displacement and temperature,” Opt. Lett. 25(16), 1141–1143 (2000). [CrossRef]
  6. X. Shu, Y. Liu, D. Zhao, B. Gwandu, F. Floreani, L. Zhang, I. Bennion, “Dependence of temperature and strain coefficients on fiber grating type and its application to simultaneous temperature and strain measurement,” Opt. Lett. 27(9), 701–703 (2002). [CrossRef]
  7. S. Melle, K. Liu, R. M. Measures, “A passive wavelength demodulation system for guided-wave Bragg grating sensors,” IEEE Photonics Technol. Lett. 4(5), 516–518 (1992). [CrossRef]
  8. G. A. Ball, W. W. Morey, R. K. Cheo, “Fiber laser source/analyzer for Bragg grating sensor array interrogation,” J. Lightwave Technol. 12(4), 700–703 (1994). [CrossRef]
  9. R. Huber, D. C. Adler, J. G. Fujimoto, “Buffered Fourier domain mode locking: unidirectional swept laser sources for optical coherence tomography imaging at 370,000 lines/s,” Opt. Lett. 31(20), 2975–2977 (2006). [CrossRef] [PubMed]
  10. C. G. Atkins, M. A. Putnam, E. J. Friebele, “Instrumentation for interrogating many-element fiber Bragg grating arrays,” Proc. SPIE 2444, 257–267 (1995). [CrossRef]
  11. A. Ezbiri, S. E. Kanellopoulos, V. A. Handerek, “High resolution instrumentation system for fiber-Bragg grating aerospace sensors,” Opt. Commun. 150, 43–48 (1998). [CrossRef]
  12. J. M. Gong, J. M. K. MacAlpine, C. C. Chan, W. Jin, M. Zhang, Y. B. Liao, “A novel wavelength detection technique for fiber Bragg grating sensors,” IEEE Photonics Technol. Lett. 14(5), 678–680 (2002). [CrossRef]
  13. C. Caucheteur, K. Chah, F. Lhommé, M. Blondel, P. Mégret, “Autocorrelation demodulation technique for fiber Bragg grating sensor,” IEEE Photonics Technol. Lett. 16(10), 2320–2322 (2004). [CrossRef]
  14. C. Huang, W. Jing, K. Liu, Y. Zhang, G. D. Peng, “Demodulation of fiber Bragg grating sensor using cross-correlation algorithm,” IEEE Photonics Technol. Lett. 19(9), 707–709 (2007). [CrossRef]
  15. L. Negri, A. Nied, H. Kalinowsky, A. Paterno, “Benchmark of peak detection algorithms in fiber Bragg grating interrogation and a new neural network for its performance improvement,” Sensors 11, 3466–3482 (2011). [CrossRef]
  16. L. Gui, S. T. Wereley, “A correlation-based continuous window-shift technique to reduce the peak-locking in digital PIV evaluation,” Experiments Fluids 32, 506–517 (2002). [CrossRef]
  17. A. C. Eckstein, J. Charonko, “Phase correlation processing for DPIV measurements,” Experiments Fluids 45, 485–500 (2008). [CrossRef]
  18. M. Raffel, C. Willert, J. Kompenhans, Particle Image Velocimetry—A Practical Guide (Springer, 1998). [CrossRef]
  19. K. T. Christensen, “On the influence of peak-locking errors on turbulance statistics compared from piv ensembles,” Experiments Fluids 36(3), 484–497 (2004). [CrossRef]
  20. J. Westerweel, “Fundamentals of digital particle image velocimetry,” Meas. Sci. Technol. 8(12), 1379–1392 (1997). [CrossRef]
  21. R. Kashyap, Fiber Bragg Gratings (Academic, 1999), Vol. IV.
  22. H. Y. Ling, K. T. Lau, W. Jin, K. C. Chan, “Characterization of dynamic strain measurement using reflection spectrum from a fiber Bragg grating,” Opt. Commun. 270, 25–30 (2007). [CrossRef]
  23. Y. J. Rao, “In-fibre Bragg grating sensors,” Meas. Sci. Technol. 8, 355–377 (1997). [CrossRef]
  24. Optical Sensing Interrogator sm125, http://micronoptics.com/uploads/library/documents/datasheets/instruments .

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