• Acta Optica Sinica
  • Vol. 37, Issue 8, 0806005 (2017)
Longxiang Shen*, Hao Feng, Zhou Sha, and Zhoumo Zeng
Author Affiliations
  • State Key Laboratory of Precision Testing Techniques and Instrument, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/AOS201737.0806005 Cite this Article Set citation alerts
    Longxiang Shen, Hao Feng, Zhou Sha, Zhoumo Zeng. Pattern Recognition of Heterodyne Phase-Sensitive Optical Time-Domain Reflection Technique Based on Down Conversion and IQ Demodulation[J]. Acta Optica Sinica, 2017, 37(8): 0806005 Copy Citation Text show less
    Diagram of system structure
    Fig. 1. Diagram of system structure
    Diagram of FPGA and its peripheral circuit
    Fig. 2. Diagram of FPGA and its peripheral circuit
    (a) Waveform of original signal; (b) waveform of down conversion signal
    Fig. 3. (a) Waveform of original signal; (b) waveform of down conversion signal
    Principle of IQ demodulation
    Fig. 4. Principle of IQ demodulation
    Diagram of IQ demodulation module of FPGA
    Fig. 5. Diagram of IQ demodulation module of FPGA
    Verification of IQ demodulation of FPGA
    Fig. 6. Verification of IQ demodulation of FPGA
    Software flow chart of DSP
    Fig. 7. Software flow chart of DSP
    Location curve
    Fig. 8. Location curve
    (a) Original image; (b) intercept image
    Fig. 9. (a) Original image; (b) intercept image
    Image enhancement. (a) Original image; (b) mean filtering; (c) Laplacian sharpening; (d) image after enhancement
    Fig. 10. Image enhancement. (a) Original image; (b) mean filtering; (c) Laplacian sharpening; (d) image after enhancement
    Images of binaryzation, expansion and corrosion of (a)-(c) PZT vibration images, (d)-(f) vibration images when car is passing through and (g)-(i) artificial disturbance images
    Fig. 11. Images of binaryzation, expansion and corrosion of (a)-(c) PZT vibration images, (d)-(f) vibration images when car is passing through and (g)-(i) artificial disturbance images
    FDR of each feature
    Fig. 12. FDR of each feature
    Model of BP neural network
    Fig. 13. Model of BP neural network
    ParameterMove average and differencePattern recognitionImage processTotal
    Number of cycles28931603622423540571345330111616
    Time consuming /ms634.460.4988.97723.92
    Table 1. Evaluation of DSP time consuming
    Longxiang Shen, Hao Feng, Zhou Sha, Zhoumo Zeng. Pattern Recognition of Heterodyne Phase-Sensitive Optical Time-Domain Reflection Technique Based on Down Conversion and IQ Demodulation[J]. Acta Optica Sinica, 2017, 37(8): 0806005
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