Study On Optical Communications, Volume. 50, Issue 2, 22007901(2024)

Analysis and Optimization of G.652.D Fibre Spectral Matrix based on Loss Sources

Tai LIU1, Jing LI2, Chao HAN1, Liyan ZHANG2, Tingting LI1, and Chen WANG1、*
Author Affiliations
  • 1China Academy of Information and Communications Technology, Beijing 100088, China
  • 2Yangtze Optical Fibre and Cable Joint Stock Limited Company, Wuhan 430074, China
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    Figures & Tables(12)
    Coefficients of spectral attenuation characterizing matrix for G.652 fibre in ITU-T G.650.1 (2018)
    Coefficients of spectral attenuation characterizing matrix for G.652.D fibre in ITU-T G.650.1 (2020)
    Comparation of spectral attenuations calculated from loss source accumulation and characterizing matrix
    Differences of spectral attenuations calculated from loss source accumulation and characterizing matrix
    Differences of tested spectral attenuations and spectral attenuations predicted by matrix (1 000 samples)
    Mean values of differences of tested spectral attenuations and the two methods (1 000 samples)
    Differences of tested spectral attenuations and accumulations of loss sources αR、αOH and αIR (1 000 samples)
    Statistical characteristics of αGeOH 1 445
    Matrix vectors M″ corresponding to loss sources
    Coefficients of matrix M′ based on loss sources
    Mean values of differences of tested spectral attenuations and spectral attenuations predicted by matrix M、M′ and M2 (1 000 samples)
    • Table 1. Spectral attenuation Matrix M′ based on loss sources

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      Table 1. Spectral attenuation Matrix M′ based on loss sources

      波长/nm测试波长对应的矩阵系数
      1 310 nm1 380 nm1 550 nm1 625 nm
      1 2601.167 900.001 00
      1 2651.149 500.001 20
      1 2701.131 400.001 30
      1 2751.113 600.001 50
      1 2801.096 200.001 80
      1 2851.079 100.002 00
      1 2901.062 300.002 30
      1 2951.045 800.002 70
      1 3001.029 500.003 10
      1 3051.013 600.003 60
      1 3100.997 900.004 10
      1 3150.980 50.002 70.004 60
      1 3200.965 30.003 30.005 30
      1 3250.942 20.013 50.005 80
      1 3300.924 50.017 90.006 50
      1 3350.900 00.031 00.007 20
      1 3400.876 50.042 90.008 00
      1 3450.850 40.058 10.008 80
      1 3500.825 10.072 30.009 90
      1 3550.796 60.091 00.011 00
      1 3600.769 00.108 60.012 40
      1 3650.682 50.200 30.012 10
      1 3700.596 80.291 10.012 10
      1 3750.298 10.646 00.005 90
      1 38001.000 000
      1 385-0.064 71.065 30.001 60
      1 3900.025 00.937 50.008 30
      1 3950.146 00.771 40.016 50
      1 4000.267 50.604 50.025 10
      1 4050.328 40.513 70.032 40
      1 4100.389 70.422 00.040 20
      1 4150.408 80.382 50.047 50
      1 4200.428 30.342 20.055 50
      1 4250.464 30.281 00.064 80
      1 4300.500 60.218 90.075 00
      1 4350.516 50.181 20.085 60
      1 4400.532 60.142 70.097 30
      1 4450.537 50.117 90.109 80
      1 4500.542 40.092 30.123 70
      1 4550.540 70.074 40.138 90
      1 4600.538 90.055 50.155 60
      1 4650.532 50.041 50.174 00
      1 4700.525 90.026 40.194 40
      1 4750.516 80.013 70.216 80
      1 4800.507 200.241 60
      1 4850.485 000.268 50
      1 4900.461 300.298 30
      1 4950.436 200.331 20
      1 5000.409 400.367 40
      1 5050.380 300.407 30
      1 5100.349 100.451 30
      1 5150.316 200.499 60
      1 5200.280 700.552 80
      1 5250.242 700.611 20
      1 5300.200 600.675 30
      1 5350.156 300.745 60
      1 5400.107 600.822 80
      1 5450.056 000.907 40
      1 550001.000 00
      1 555000.957 40.036 0
      1 560000.912 60.074 9
      1 565000.865 30.117 1
      1 570000.815 30.162 7
      1 575000.762 40.212 1
      1 580000.706 30.265 6
      1 585000.646 70.323 6
      1 590000.583 20.386 4
      1 595000.515 60.454 5
      1 600000.443 50.528 3
      1 605000.366 40.608 2
      1 610000.284 00.694 7
      1 615000.195 80.788 5
      1 620000.101 30.890 1
      1 6250001.000 0
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    Tai LIU, Jing LI, Chao HAN, Liyan ZHANG, Tingting LI, Chen WANG. Analysis and Optimization of G.652.D Fibre Spectral Matrix based on Loss Sources[J]. Study On Optical Communications, 2024, 50(2): 22007901

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    Paper Information

    Category: Research Articles

    Received: Feb. 25, 2023

    Accepted: --

    Published Online: Apr. 9, 2024

    The Author Email: WANG Chen (wangchen@caict.ac.cn)

    DOI:10.13756/j.gtxyj.2024.220079

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