Laser & Optoelectronics Progress, Volume. 60, Issue 15, 1528001(2023)

Detection of Piston Error of Synthetic Aperture System Using Pyramid Sensor

Shufan Ma1,2,3, Hao Xian1,2、*, and Shengqian Wang1,2、**
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, Sichuan, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, Sichuan, China
  • 3University of Chinese Academy of Science, Beijing 100049, China
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    Figures & Tables(8)
    Schematic diagram of pyramid sensor
    Picture of 7-unit segmented mirrors.(a) Mirrors; (b) self-made mask
    Schematic diagram of curve fitting experiment of pyramid sensor
    Relationship between the signal of pyramid sensor and piston error (in wavelength) and sinusoidal fitting curve
    Comparison between measured value and real value of piston errors
    Comparison of 7-aperture synthetic imaging systems before and after co-phasing.(a) Far-field spot before co-phasing; (b) strength distribution in xOz section before co-phasing; (c) strength distribution in yOz section before co-phasing; (d) far-field spot after co-phasing; (e) strength distribution in xOz section after co-phasing; (f) strength distribution in yOz section after co-phasing
    RMSE and PV values for multiple experiments
    • Table 1. Values of A, B and C obtained from multiple experiments and the corresponding RMSE

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      Table 1. Values of A, B and C obtained from multiple experiments and the corresponding RMSE

      A valueB valueC valueRMSE /nm
      0.714611.94-1.15819.2
      0.708311.81-1.14618.3
      0.710311.89-1.15120.9
      0.710011.85-1.15618.8
      0.707611.79-1.13722.4
      0.709811.95-1.14321.7
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    Shufan Ma, Hao Xian, Shengqian Wang. Detection of Piston Error of Synthetic Aperture System Using Pyramid Sensor[J]. Laser & Optoelectronics Progress, 2023, 60(15): 1528001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 25, 2022

    Accepted: Jul. 8, 2022

    Published Online: Aug. 11, 2023

    The Author Email: Hao Xian (xianhao@ioe.ac.cn), Shengqian Wang (sqwang@ioe.ac.cn)

    DOI:10.3788/LOP221693

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