Opto-Electronic Engineering, Volume. 51, Issue 4, 240002-1(2024)

Design and implement of a space-borne sun glint polarization parameter computing system

Yuhao Li1,2, Feng Ji1, Zhenwei Qiu2, Feinan Chen2、*, Zhuoran Li2, Gaojun Chi2, Jingjing Chen1, Yadong Hu2, and Mengfan Li2
Author Affiliations
  • 1School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
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    Figures & Tables(13)
    Sun glint geometry
    The relationship between the degree of polarization and angle of polarization and observed zenith angle at different solar zenith angles
    Comparison of suppression effects between parallel polarizers and specific angle polarizers
    System information flow diagram
    Finite-state machine
    Line biased light source and atmosphere calibration instrument probe
    • Table 1. Ruler of the lookup table

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      Table 1. Ruler of the lookup table

      StartEndStepAverage
      Solar zenith80°
      View zenith80°
      Differentials azimuth360°10°
      Wind speed4.1 m/s
      Wind azimuth90°
    • Table 2. Performance comparison of two datatype

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      Table 2. Performance comparison of two datatype

      LatencyDSP48EFFLUT
      FLOAT668401182
      AP_FIXED<32,16>03076
    • Table 3. CORDIC algorithm iteration factor

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      Table 3. CORDIC algorithm iteration factor

      itanθθIteration factor
      01450.70711
      10.526.565050.63246
      20.2514.036240.61357
      30.1257.125020.60883
      40.06253.576330.60765
      50.031251.789910.607352
      60.0156250.895170.607278
      ············
    • Table 4. Performance and resource comparison of three algorithms

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      Table 4. Performance and resource comparison of three algorithms

      LatencyIntervalDSP48EFFLUT
      CORDIC4104423640
      sin393932261119
      Taylor3636629424678
    • Table 5. Performance and resource comparison before and after optimization

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      Table 5. Performance and resource comparison before and after optimization

      LatencyFFDSP48E
      BeforeAfterBeforeAfterBeforeAfter
      GHT18110933174883124
      CDOLP104691852343000
      MDOLP1397368819187291420
    • Table 6. 0° experiment results

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      Table 6. 0° experiment results

      ParameterValue
      Mean DN13717
      Mean DN25562
      Mean DN3740
      DOLP0.967
      Standard deviation of DOLP0.023
      AOP4.377°
      Standard deviation of AOP0.112
    • Table 7. Experiment results

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      Table 7. Experiment results

      Angle of lightMEAN DN1MEAN DN2MEAN DN3DOLPStandard deviation of DOLPAOPStandard deviation of AOP
      30°1127593730020.9710.00330.100.098
      60°728368756120.9760.00260.450.126
      90°2963110259820.9740.00390.350.100
      120°556973437080.9700.002119.940.120
      150°5972297111040.9750.003150.200.107
      180°372755597350.9730.002180.300.110
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    Yuhao Li, Feng Ji, Zhenwei Qiu, Feinan Chen, Zhuoran Li, Gaojun Chi, Jingjing Chen, Yadong Hu, Mengfan Li. Design and implement of a space-borne sun glint polarization parameter computing system[J]. Opto-Electronic Engineering, 2024, 51(4): 240002-1

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    Paper Information

    Category: Article

    Received: Jan. 23, 2024

    Accepted: Feb. 26, 2024

    Published Online: Jul. 8, 2024

    The Author Email: Feinan Chen (陈斐楠)

    DOI:10.12086/oee.2024.240002

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