Acta Optica Sinica, Volume. 44, Issue 24, 2430002(2024)

Spectral Inversion Algorithm of Virtual Image Phase Array Spectrometer Based on Particle Swarm Optimization

BingXuan Lü1,2, Weixiong Zhao1,2、**, Hao Zhou1,2, Weihua Cui2, Bo Fang2, Nana Yang2, and Weijun Zhang1,2、*
Author Affiliations
  • 1University of Science and Technology of China, Hefei 230036, Anhui , China
  • 2Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    Figures & Tables(9)
    Flowchart of PSO peak correction
    Schematic diagram of PSO iteration process
    Schematic diagram of CO2 measurement device using VIPA spectrometer
    Spectral measurement images and spectral calibration results of polynomial method. (a) Pure N2 spectral image; (b) pure CO2 spectral image; (c) measured spectrum, theoretical absorption spectrum, and residual of pure CO2 in frequency axis calibrated by cubic polynomial; (d) local fitting plot and residual from 6988.25 cm-1 to 6988.70 cm-1
    Particle motion diagrams and corresponding spectral fitting diagrams under different iterations within 6988.25‒6988.70 cm-1. (a) Position of particle swarm at first iteration; (b) fitting plot and residual of global optimal position at first iteration; (c) position of particle swarm at 15th iteration; (d) fitting plot and residual of global optimal position at 15th iteration; (e) position of particle swarm at 30th iteration; (f) fitting plot and residual of global optimal position at 30th iteration
    Change process of fitness value
    Measured spectrum, theoretical absorption spectrum, and residual of pure CO2 after PSO peak correction
    Results of cubic polynomial fitting frequency axis solution and solution after particle swarm correction at 30% to 60% volume fraction
    • Table 1. Setting of other PSO parameters

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      Table 1. Setting of other PSO parameters

      ParameterValue
      Number of particles N10
      Iterations M60
      Individual learning factor c12-t /M
      Group learning factor c21+t /M
      Inertia weight factor wt1-t /10M
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    BingXuan Lü, Weixiong Zhao, Hao Zhou, Weihua Cui, Bo Fang, Nana Yang, Weijun Zhang. Spectral Inversion Algorithm of Virtual Image Phase Array Spectrometer Based on Particle Swarm Optimization[J]. Acta Optica Sinica, 2024, 44(24): 2430002

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    Paper Information

    Category: Spectroscopy

    Received: Jan. 22, 2024

    Accepted: Apr. 18, 2024

    Published Online: Dec. 17, 2024

    The Author Email: Zhao Weixiong (wxzhao@aiofm.ac.cn), Zhang Weijun (wjzhang@aiofm.ac.cn)

    DOI:10.3788/AOS240534

    CSTR:32393.14.AOS240534

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