Modeling and analysis for imaging characteristics of infrared array-aperture diffractive optical system
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Affiliation:

1.Research Center for Space Optical Engineering, Harbin Institute of Technology, Harbin 150001, China;2.Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China;3.School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518000, China

Clc Number:

O439

Fund Project:

Supported by the National Natural Science Foundation of China under Grant 61975043 and 61605035.

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    Abstract:

    This paper establishes the modulation transfer function (MTF) and signal-to-noise ratio (SNR) characterization models of the infrared array-aperture diffractive optical system based on the diffraction imaging mechanism. Subsequently, the imaging system diffraction efficiency is calculated based on the three-dimensional Finite Difference Time Domain (FDTD) method and the imaging characteristics are represented by combining the MTF and SNR. Finally, the effects of different working wavelengths, field of views and filling factors of the primary lens imaging characteristics are analyzed. The analysis results show that the diffraction efficiency, the MTF and SNR of infrared array-aperture diffractive optical system all have spectral and spatial variation characteristics, which reduce with the decrease of the primary lens filling factor. When the filling factor is 0.6, the integral area of MTF decreases by 45.42% and the SNR decreases by 4.92 dB compared with the ideal full aperture system. The established model can be used to characterize the imaging quality of infrared array-aperture diffractive optical system and provide reference to the imaging system design.

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NIU Rui-Ze, QIAO Kai, ZHI Xi-Yang, GONG Jin-Nan, JIANG Shi-Kai, TIAN Chao. Modeling and analysis for imaging characteristics of infrared array-aperture diffractive optical system[J]. Journal of Infrared and Millimeter Waves,2023,42(2):260~266

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History
  • Received:September 21,2022
  • Revised:March 08,2023
  • Adopted:October 24,2022
  • Online: March 07,2023
  • Published:
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