Infrared and Laser Engineering, Volume. 52, Issue 7, 20230317(2023)

Design method of imaging systems using square-domain orthogonal polynomials freeform surface (invited)

Lijun Zhou1,2, Tong Yang1,2, Dewen Cheng1,2, and Yongtian Wang1,2
Author Affiliations
  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing 100081, China
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    Figures & Tables(18)
    Sketch of the rectangular surface aperture
    System layout for design example A. (a) System using XY polynomials surface; (b) System using Chebyshev polynomials surface; (c) System using Legendre polynomials surface and using two types of constraints during optimization
    MTF (a) and full FOV RMS wavefront error (b) of systems in example A using XY polynomials and Chebyshev polynomials surface types
    Sag difference between the freeform surface and base surface for the surfaces in example A using XY polynomials and Chebyshev polynomials surface types
    MTF (a) and full FOV RMS wavefront error (b) of systems in example A using XY polynomials and Legendre polynomials surface types
    Sag difference between the freeform surface and base surface for the surfaces in example A using XY polynomials and Legendre polynomials surface types
    System layout for design example B. (a) System using XY polynomials surface type; (b) System using Legendre polynomials surface type and using two types of constraints during optimization
    MTF and full FOV RMS wavefront error of systems in example B using XY polynomials and Legendre polynomials surface types
    Sag difference between the freeform surface and base surface for the surfaces in example B using XY polynomials and Legendre polynomials surface types
    System layout for design example C. (a) System using XY polynomials surface type; (b) System using Legendre polynomials surface type and using two types of constraints during optimization
    MTF (a) and full FOV RMS wavefront error (b) of systems in example C using XY polynomials and Legendre polynomials surface types
    Sag difference between the freeform surface and base surface for the surfaces in example C using XY polynomials and Legendre polynomials surface types
    • Table 1. 1D Chebyshev polynomial up to the sixth order

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      Table 1. 1D Chebyshev polynomial up to the sixth order

      nTn(u)
      01
      1u
      22u2−1
      34u3−3u
      48u4−8u2+1
      516u5−20u3+5u
      632u6−48u4+18u2−1
    • Table 2. 1D Legendre polynomial up to the sixth order

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      Table 2. 1D Legendre polynomial up to the sixth order

      nPn(u)
      01
      1$\sqrt {\text{3}} u$
      2$(\sqrt {\text{5}} {\text{/2)(3}}{u^2} - 1)$
      3$(\sqrt {\text{7}} {\text{/2)(5}}{u^{\text{3}}} - {\text{3}}u)$
      4$({\text{3/8)(35}}{u^{\text{4}}} - {\text{30}}{u^2} + 3)$
      5$(\sqrt {11} {\text{/8)(63}}{u^{\text{5}}} - {\text{70}}{u^3} + 15 u)$
      6$(\sqrt {1{\text{3}}} {\text{/16)(231}}{u^{\text{6}}} - {\text{315}}{u^{\text{4}}} + 1{\text{0}}5{u^{\text{2}}} - 5)$
    • Table 3. Surface sag difference and imaging performance for design example A using XY polynomials and Chebyshev polynomials surface types

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      Table 3. Surface sag difference and imaging performance for design example A using XY polynomials and Chebyshev polynomials surface types

      Surface typeXY polynomials Chebyshev polynomials
      ConstraintsNoneSag difference on aperture margins
      SDPV/mmMND/(°)SDPV/mmMND/(°)
      M10.6670.4940.0900.090
      M20.5802.3680.2540.940
      Sum1.2472.8620.3441.030
      RMS WFE0.021λ0.021λ
    • Table 4. Surface sag difference and imaging performance for design example A using XY polynomials and Legendre polynomials surface types

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      Table 4. Surface sag difference and imaging performance for design example A using XY polynomials and Legendre polynomials surface types

      Surface typeXY polynomials Legendre polynomials
      ConstraintsNoneSag difference on aperture marginsSquare sum of surface coefficientsBoth types of constraints
      SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)
      M10.6670.4940.0970.1000.1000.1120.0970.097
      M20.5802.3680.1560.7100.1560.6010.1560.747
      Sum1.2472.8620.2530.8100.2560.7130.2530.844
      RMS WFE0.021λ0.020λ0.020λ0.020λ
    • Table 5. Surface sag difference and imaging performance for design example B using XY polynomials and Legendre polynomials surface types

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      Table 5. Surface sag difference and imaging performance for design example B using XY polynomials and Legendre polynomials surface types

      Surface typeXY polynomials Legendre polynomials
      ConstraintsNoneSag difference on aperture marginsSquare sum of surface coefficientsBoth types of constraints
      SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)
      M11.7595.2590.1160.3810.1700.6810.1080.360
      M30.8601.3390.2190.4470.2090.4280.2160.436
      Sum2.6196.5980.3350.8280.3791.1090.3240.796
      RMS WFE0.008λ0.008λ0.008λ0.008λ
    • Table 6. Surface sag difference and imaging performance for design example C using XY polynomials and Legendre polynomials surface types

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      Table 6. Surface sag difference and imaging performance for design example C using XY polynomials and Legendre polynomials surface types

      Surface typeXY polynomials Legendre polynomials
      ConstraintsNoneSag difference on aperture marginsSquare sum of surface coefficientsBoth types of constraints
      SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)SDPV/mmMND/(°)
      M11.9412.0131.9791.8741.8512.0611.7341.373
      M20.9007.6000.0330.5850.0501.0780.0330.591
      M36.5255.0700.6450.5360.5000.4480.5400.457
      Sum9.36614.6832.6572.9952.4013.5872.3072.421
      RMS WFE0.047λ0.050λ0.045λ0.051λ
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    Lijun Zhou, Tong Yang, Dewen Cheng, Yongtian Wang. Design method of imaging systems using square-domain orthogonal polynomials freeform surface (invited)[J]. Infrared and Laser Engineering, 2023, 52(7): 20230317

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    Paper Information

    Category:

    Received: May. 29, 2023

    Accepted: --

    Published Online: Aug. 16, 2023

    The Author Email:

    DOI:10.3788/IRLA20230317

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