Laser & Optoelectronics Progress, Volume. 58, Issue 7, 0706002(2021)

Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian

Yanzhang Lin, Yi Liu, Yuheng Pan*, and Guoyan Li
Author Affiliations
  • School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China
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    Figures & Tables(9)
    Convolution results of dot signal and second derivative of normalized Gaussian function. (a) Original signal(s=200); (b) convolution signal(σ=20)
    Convolution results of dot signal and second derivative of Gaussian function on the different scales. (a) Original signal (s=200); (b) convolution signal(σ=70); (c) convolution signal(σ=100); (d) convolution signal(σ=130)
    Process of peak detection
    Schematic of the experimental platform
    FBG reflection spectrum
    Physical diagram of the experimental platform
    Detection results of three peak-detection algorithms
    Relation between SNR and algorithm error by the three algorithms
    • Table 1. Average wavelength, standard deviation, average error and operation time of the three algorithms

      View table

      Table 1. Average wavelength, standard deviation, average error and operation time of the three algorithms

      Peak-detection algorithmCentroid detection algorithmGaussian fitting algorithmDoG algorithm
      Mean value /nm1558.6781558.6711558.668
      Standard deviation /pm244.94.2
      Error /pm1654
      Operation time /ms0.2105.956.2
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    Yanzhang Lin, Yi Liu, Yuheng Pan, Guoyan Li. Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian[J]. Laser & Optoelectronics Progress, 2021, 58(7): 0706002

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 6, 2020

    Accepted: Sep. 3, 2020

    Published Online: Apr. 25, 2021

    The Author Email: Pan Yuheng (yuheng0616@sina.com)

    DOI:10.3788/LOP202158.0706002

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