Infrared and Laser Engineering, Volume. 52, Issue 11, 20230119(2023)

Simulation and implementation of undersampling all-phase FFT phase discrimination method

Yaqing Zhu1,2, Rongyi Ji1,2、*, Dengfeng Dong1,2, and Weihu Zhou1,2
Author Affiliations
  • 1Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(15)
    Schematic diagram of phase laser ranging
    Diagram of all phase FFT phase discrimination (N=4)
    Principle block diagram of undersampling apFFT phase detection
    (a) Phase detection performance with different sampling frequency at signal frequency of 201 MHz; (b) Phase detection performance with different sampling frequency at signal frequency of 301 MHz
    Phase discrimination performance under different signal frequencies
    Measurement performance with different SNR
    Measurement performance with frequency offset
    (a) Phase detection performance with various factors of undersampling FFT method; (b) Phase detection performance with various factors of undersampling apFFT method
    (a) Hardware scheme block diagram of under-sampling phase detection system; (b) Actual circuit diagram of undersampling phase discrimination system
    (a) Phase detection accuracy with different white Gaussian noise of FFT methods based on phase discriminator circuit; (b) Phase detection accuracy with different white Gaussian noise of apFFT methods based on phase discriminator circuit
    Phase detection accuracy with different phase differences based on phase discriminator circuit
    Experimental system of phase laser ranging
    Phase discrimination results comparison diagram with Kalman filtering or not
    • Table 1. Data analysis of measurement results at different distances

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      Table 1. Data analysis of measurement results at different distances

      $ D $/m $\; \mu -\varphi$/(°) $\varphi -ap$/(°) $\varphi -kal$/(°) $ \mu -d $/m $ \mathrm{\Delta }d $/mm $ \delta -d $/mm
      0.0171.86010.217800.055740.356259-0.11555
      0.2268.20470.251240.047250.1997190.280230.09795
      0.44.5334980.277850.042540.3997270.273230.08818
      0.6101.24490.256920.049130.5998870.113710.10184
      0.8197.83990.294030.051440.8001240.124280.10663
      1.0294.04790.255880.049110.9997310.269270.10179
      1.230.529410.299230.048271.1997640.235530.10007
      1.4127.28450.279420.036491.4001340.133980.07564
      1.6223.84240.245560.034191.6002860.285680.07089
      1.8320.11680.280150.035881.7998690.130550.07438
      2.056.701880.296870.054852.0001870.186710.11369
      Mean value -0.268630.04590-0.203320.09515
    • Table 2. Comparison of relevant data from references

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      Table 2. Comparison of relevant data from references

      The method$ f $/MHz $ \varphi $/(°) $ d $/mm
      sub-DFT[12]800.1330.68
      Nyq-DFT[11]1000.10.4
      Nyq-apFFT[7]1000.090.38
      sub-apFFT2010.0230.20
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    Yaqing Zhu, Rongyi Ji, Dengfeng Dong, Weihu Zhou. Simulation and implementation of undersampling all-phase FFT phase discrimination method[J]. Infrared and Laser Engineering, 2023, 52(11): 20230119

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    Paper Information

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    Received: Mar. 6, 2023

    Accepted: --

    Published Online: Jan. 8, 2024

    The Author Email: Ji Rongyi (jirongyi@ime.ac.cn)

    DOI:10.3788/IRLA20230119

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