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Acta Photonica Sinica, Volume. 50, Issue 9, 0906001(2021)

Fiber Bragg Grating Demodulation Method Based on Improved Manta Ray Foraging Optimization Algorithm

Qiufeng SHANG1,2,3 and Genbei YANG1、*
Author Affiliations
  • 1Department of Electronic and Communication Engineering， North China Electric Power University，Baoding， Hebei07003， China
  • 2Hebei Key Laboratory of Power Internet of Things Technology， North China Electric Power University， Baoding， Hebei071003， China
  • 3Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology，North China Electric Power University， Baoding， Hebei07100， China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
    Equations (11)
    References (16)
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    Figures & Tables(11)
    Flowchart of DEMRFO algorithm

    Fig. 1. Flowchart of DEMRFO algorithm

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    Schematic of FBG multiplexing system

    Fig. 2. Schematic of FBG multiplexing system

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    Combined spectrum of two FBGs

    Fig. 3. Combined spectrum of two FBGs

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    Combined spectrum of three FBGs

    Fig. 4. Combined spectrum of three FBGs

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    Combined spectrum of four FBGs

    Fig. 5. Combined spectrum of four FBGs

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    Experimental system

    Fig. 6. Experimental system

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    Combined spectrum of two FBGs

    Fig. 7. Combined spectrum of two FBGs

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    • Table 1. Demodulation results of MRFO algorithm and DEMRFO algorithm

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      Table 1. Demodulation results of MRFO algorithm and DEMRFO algorithm

      TimesMRFO/DEMRFOMRFO/DEMRFO
      Error/nmNumber of local optimal solution
      FBG1FBG2FBG1FBG2
      10.003 143 7/0.000 001 10.000 091 2/0.000 000 90/00/0
      20.000 020 5/0.000 000 40.002 177 5/0.000 000 30/00/0
      30.000 024 5/0.000 000 60.000 043 3/0.000 000 10/00/0
      40.000 925 6/0.000000 10.002 685 2/0.000 000 10/00/0
      50.029 096 5/0.000000 20.030 606 7/0.000 000 61/01/0
      60.022 674 2/0.000000 40.027 496 0/0.000 001 01/01/0
      70.000 230 0/0.000000 50.001 913 5/0.000 000 020/01/0
      80.049 873 0/0.000 000 10.068 897 6/0.000 000 44/04/0
      90.025 621 6/0.000 010 90.034 437 9/0.000 001 32/03/0
      100.021 940 5/0.004 366 10.028 870 2/0.005 662 75/15/1
      110.000 151 4/0.000 150 90.000 158 9/0.000 196 10/00/0

    • Table 2. Demodulation results of MRFO algorithm and DEMRFO algorithm

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      Table 2. Demodulation results of MRFO algorithm and DEMRFO algorithm

      Degree of overlapMRFO/DEMRFOMRFO/DEMRFO
      Error/nmNumber of local optimal solution
      FBG1FBG2FBG3FBG1FBG2FBG3
      Non

      0.101 787 5/

      0.000 002 0

      0.047 299 1/

      0.000 000 1

      0.153 959 9/

      0.000 001 1

      		2/05/04/0
      Partially

      0.059 250 0/

      0.000 006 3

      0.093 832 7/

      0.000 014 0

      0.008 835 9/

      0.000 011 7

      		4/04/02/0
      Totally

      0.000 047 9/

      0.000 171 9

      0.000 780 4/

      0.000 544 2

      0.001 024 3/

      0.000 427 3

      		0/00/00/0

    • Table 3. Demodulation results of MRFO algorithm and DEMRFO algorithm

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      Table 3. Demodulation results of MRFO algorithm and DEMRFO algorithm

      Degree of overlapMRFO/DEMRFOMRFO/DEMRFO
      Error/nmNumber of local optimal solution
      FBG1FBG2FBG3FBG4FBG1FBG2FBG3FBG4
      Non

      0.149 841 4

      /0.000 008 8

      0.099 501 1

      /0.000 001 5

      0.147 907 2

      /0.000 009 6

      0.344 911 5

      /0.000 013 7

      		4/04/06/07/0
      Partially

      0.066 064 8

      /0.000 027 3

      0.036 541 8

      /0.000 028 6

      0.084 892 9

      /0.000 160 0

      0.274 769 0

      /0.000 067 7

      		4/07/09/09/0
      Totally

      0.004 172 9

      /0.000 347 1

      0.002 208 3

      /0.000 035 5

      0.001 030 2

      /0.000 483 9

      0.006 372 3

      /0.001 812 6

      		0/01/02/03/0

    • Table 4. Demodulation results of MRFO algorithm and DEMRFO algorithm

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      Table 4. Demodulation results of MRFO algorithm and DEMRFO algorithm

      FBG1FBG2
      Error/nmNumber of local optimal solutionError/nmNumber of local optimal solution
      MERO0.114 223 120.103 13632
      DEMRFO0.004 607 300.007 61790
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    Qiufeng SHANG, Genbei YANG. Fiber Bragg Grating Demodulation Method Based on Improved Manta Ray Foraging Optimization Algorithm[J]. Acta Photonica Sinica, 2021, 50(9): 0906001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Mar. 8, 2021

    Accepted: May. 11, 2021

    Published Online: Oct. 22, 2021

    The Author Email: YANG Genbei (344435529@qq.com)

    DOI:10.3788/gzxb20215009.0906001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology