Abstract
We propose an efficient method for FBG peak detection based on matched filtering technique. The matched filtering process is based on resonance point estimation between a standard reference spectral signal and a reflected spectrum of FBG. The desired peak wavelength and corresponding peak intensity are predicted by determining the cross-correlation between the FBG signal and derivative of the reference signal. The peak wavelength and intensity are found from the zero-crossing points of the cross-correlation function. The Mexican-hat wavelet function is chosen as the reference spectral signal due to its narrow shape. The proposed method has been experimentally verified for isolated as well as overlapped FBG spectrum. The proposed algorithm can suitably be used for multiple peak detection when several FBGs are cascaded and if the FBG signal is weak and noisy.
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References
Bodendorfer, T., et al.: Comparison of different peak detection algorithms with regards to spectrometic fiber Bragg grating interrogation systems. In: 2009 International Symposium on Optomechatronic Technologies. IEEE, 2009.
Chen, Z.J., Bai, J., Tang, Z., Zhao, W.U.X.H., Zhang, J.J.: Optimization and comparison of the peak-detection algorithms for the reflection spectrum of fiber Bragg grating. Acta Photonica Sin. 5(4), 323–334 (2015)
Chen, Y., Yang, K., Liu, H.L.: Self-adaptive multi-peak detection algorithm for FBG sensing signal. IEEE Sens. J. 16(8), 2658–2665 (2016)
Ding, P., Huang, J., Tang, J.: Multi-peak FBG reflection spectrum segmentation based on continuous wavelet transformation. Opt. Fiber Technol. 50, 250–255 (2019)
Felinger, A.: Data Analysis and Signal Processing in Chromatography, Chapter-8. Elsevier (1998)
Grattan, K.T.V., Sun, T.: Fiber optic sensor technology: an overview. Sens. Actuat. A 82(1), 40–61 (2003)
Guo, Y., et al.: Accurate demodulation algorithm for multi-peak FBG sensor based on invariant moments retrieval. Opt. Fiber Technol. 54, (2020a)
Guo, Y., et al.: FBG wavelength demodulation based on bandwidth of radio frequency signals. Opt. Commun. 454, 124478 (2020b)
Habel, J., Boilard, T., Freniere, J.S., Trepanier, F., Bernier, M.: Femtosecond FBG written through the coating for sensing applications. Sensors 17(11), 11 (2017)
Jiang, H., Chen, J., Liu, T., Huang, W.: A novel wavelength detection technique of overlapping spectra in the serial WDM FBG sensor network. Sens. Actuat. A Phys. 198, 31–34 (2013)
Li, A., Wang, Y., Hu, Q., Shieh, W.: Few-mode fiber based optical senses. Opt. Express 23(2), 1139–1150 (2015)
Liu, F., Tong, X., Zhang, C., Deng, C., Xiong, Q., Zheng, Z., Wang, P.: Multi-peak detection algorithm based on the Hilbert transform for optical FBG sensing. Opt. Fiber Technol. 1(45), 47–52 (2018)
Pachava, V.R., Kamineni, S., Madhuvarasu, S.S., Mamidi, V.R.: Fiber Bragg grating based hydraulic pressure sensor with enhanced resolution. Opt. Eng. 54(9), 6 (2015)
Qi, Y., et al.: Research on temperature and humidity sensing characteristics of cascaded LPFG-FBG. Optik 188, 19–26 (2019)
Rodrigues, C., Félix, C., Lage, A., Figueiras, J.: Development of a long-term monitoring system based on FBG sensors applied to concrete bridges. Eng. Struct. 32(8), 1993–2002 (2010)
Theodosiou, A., Komodromos, M., Kalli, K.: Accurate and fast demodulation algorithm for multipeak FBG reflection spectra using a combination of cross correlation and Hilbert transformation. J. Lightwave Technol. 35(18), 3956–3962 (2017)
Trita, A., et al.: Simultaneous interrogation of multiple fiber Bragg grating sensors using an arrayed waveguide grating filter fabricated in SOI platform. IEEE Photonics J. 7(6), 1–11 (2015)
Wang, P., et al.: Research on peak-detection algorithm for high-precision demodulation system of fiber Bragg grating. Int. J. Hybrid Inf. Technol. 7(6), 337–344 (2014)
Xu, O., Liu, J., Tong, X., Zhang, C., Deng, C., Mao, Y., et al.: A multi-peak detection algorithm for fiber Bragg Grating sensing systems. Opt. Fiber Technol. 58, 102311 (2020)
Yelin, D., Oron, D., Thiberge, S., Moses, E., Silberberg, Y.: Multiphoton plasmon-resonance microscopy. Opt. Express 11(12), 1385–1391 (2003)
Yu, J., et al.: Impact localization for composite plate based on detrended fluctuation analysis and centroid localization algorithm using FBG sensors. Optik 167, 25–36 (2018)
Zhu, M., Murayama, H., Wada, D., Kageyama, K.: Dependence of measurement accuracy on the birefringence of PANDA fiber Bragg gratings in distributed simultaneous strain and temperature sensing. Opt. Express 25(4), 4000–4017 (2017)
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In the manuscript ‘Efficient Detection of Multiple FBG Wavelength Peaks using Matched Filtering Technique’ we have contributed as, the author ‘SK’ carried out the study all the parameters which are used in matched filtering peak detection technique, the design of peak detection algorithm, and the result analysis. The drafting and manuscript writing is carried out by SS.
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Kumar, S., Sengupta, S. Efficient detection of multiple FBG wavelength peaks using matched filtering technique. Opt Quant Electron 54, 89 (2022). https://doi.org/10.1007/s11082-021-03460-3
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DOI: https://doi.org/10.1007/s11082-021-03460-3