• Acta Photonica Sinica
  • Vol. 50, Issue 9, 0906001 (2021)
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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    DOI: 10.3788/gzxb20215009.0906001 Cite this Article
    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 Copy Citation Text show less
    Flowchart of DEMRFO algorithm
    Fig. 1. Flowchart of DEMRFO algorithm
    Schematic of FBG multiplexing system
    Fig. 2. Schematic of FBG multiplexing system
    Combined spectrum of two FBGs
    Fig. 3. Combined spectrum of two FBGs
    Combined spectrum of three FBGs
    Fig. 4. Combined spectrum of three FBGs
    Combined spectrum of four FBGs
    Fig. 5. Combined spectrum of four FBGs
    Experimental system
    Fig. 6. Experimental system
    Combined spectrum of two FBGs
    Fig. 7. Combined spectrum of two FBGs
    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 1. 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 2. 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 3. 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
    Table 4. Demodulation results of MRFO algorithm and DEMRFO algorithm
    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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