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Chinese Journal of Lasers, Volume. 47, Issue 1, 0104002(2020)

Real-Time Phase-Sensitive Optical Time-Domain Reflectometry Signal Processing System Based on Heterogeneous Accelerated Computing

Qinghua Sheng1, Zhao Yu1, Bin Lu2、*, Zhu Li1、**, Qing Ye2,3, and Zexin Zhang1
Author Affiliations
  • 1School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
  • 2Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 3Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (18)
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    References (18)
    Cited By (12)
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    Figures & Tables(18)
    Schematic of Φ-OTDR experimental system

    Fig. 1. Schematic of Φ-OTDR experimental system

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    Format of data frame

    Fig. 2. Format of data frame

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    Signal processing steps of Φ-OTDR system

    Fig. 3. Signal processing steps of Φ-OTDR system

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    Schematic of FPGA implementation

    Fig. 4. Schematic of FPGA implementation

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    Pipeline using in system. (a) Structure of pipeline; (b) timing of FFT pipeline process

    Fig. 5. Pipeline using in system. (a) Structure of pipeline; (b) timing of FFT pipeline process

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    Sliding read and combination of data frame

    Fig. 6. Sliding read and combination of data frame

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    Process of FFT calculation

    Fig. 7. Process of FFT calculation

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    Process of filtering calculation

    Fig. 8. Process of filtering calculation

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    Accuracy of FFT calculation

    Fig. 9. Accuracy of FFT calculation

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    Actual calculation results. (a) FPGA FFT;(b) MATLAB FFT

    Fig. 10. Actual calculation results. (a) FPGA FFT;(b) MATLAB FFT

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    Transition display of disturbance

    Fig. 11. Transition display of disturbance

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    Disturbance andmagnified image of disturbance point

    Fig. 12. Disturbance andmagnified image of disturbance point

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    Frequency spectrum analysis. (a) Frequency spectrum without disturbance point; (b) frequency spectrum with disturbance point

    Fig. 13. Frequency spectrum analysis. (a) Frequency spectrum without disturbance point; (b) frequency spectrum with disturbance point

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    Results of filtering. (a) Result before filtering; (b) result after filtering

    Fig. 14. Results of filtering. (a) Result before filtering; (b) result after filtering

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    • Table 1. Resource utilization of FPGA

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      Table 1. Resource utilization of FPGA

      ResourceUsageAvailabilityUtilization /%
      LUT3917713380029.28
      LUTRAM90794620019.65
      FF6062126760022.65
      BRAM250.5036568.63
      DSP45074060.81
      IO15340038.25
      MMCM31030
      PLL11010
      PCIe11100

    • Table 2. Time differences of calculating FFT between FPGA and Matlab

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      Table 2. Time differences of calculating FFT between FPGA and Matlab

      EnvironmentSpecificationFFT number
      10,00020,00030,00040,00050,000
      FPGA Atrix-7200 MHz, 1 core25.8 ms51.7 ms77.6 ms103.4 ms129.3 ms
      FPGA Atrix-7200 MHz, 8 cores3.24 ms6.47 ms9.70 ms12.93 ms16.16 ms
      MATLAB Core i74.6 GHz, 4 cores, 8 threads74.5 ms146 ms198 ms265 ms363 ms
      MATLABRyzen 54.0 GHz, 6 cores, 12 threads73.1 ms138 ms206 ms274 ms353 ms
      MATLABPentium3.3 GHz, 2 cores, 2 threads155 ms300 ms451 ms607 ms757 ms

    • Table 3. Real-time test results

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      Table 3. Real-time test results

      PerformanceData frame write to readFFT processFFT frame write to readPCIe FIFO depth
      Worst592(lines)9259732(cycles)1(frame)15106
      Limit2000(lines)10000000(cycles)3(frames)65535
      Headroom /%70.47.466.776.9

    • Table 4. Time analysis of secondary pipeline

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      Table 4. Time analysis of secondary pipeline

      ProcessData readFFT calculateAll
      Clock consume6674732(cycles)2585000(cycles)9259732(cycles)
      Utilization /%72.127.9100
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    Qinghua Sheng, Zhao Yu, Bin Lu, Zhu Li, Qing Ye, Zexin Zhang. Real-Time Phase-Sensitive Optical Time-Domain Reflectometry Signal Processing System Based on Heterogeneous Accelerated Computing[J]. Chinese Journal of Lasers, 2020, 47(1): 0104002

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    Paper Information

    Category: measurement and metrology

    Received: Jun. 25, 2019

    Accepted: Aug. 22, 2019

    Published Online: Jan. 9, 2020

    The Author Email: Bin Lu (lubin@siom.ac.cn), Zhu Li (lz1126@hdu.edu.cn)

    DOI:10.3788/CJL202047.0104002

    Topics

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