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Improving the Capture-range Problem in Phase-diversity Phase Retrieval for Laser-wavefront Measurement Using Geometrical-optics Initial Estimates

  • Li, Li Jie (School of Opto-electronic Engineering, Changchun University of Science and Technology) ;
  • Jing, Wen Bo (School of Opto-electronic Engineering, Changchun University of Science and Technology) ;
  • Shen, Wen (Department of Management Engineering, Jilin Communications Polytechnic) ;
  • Weng, Yue (Chengdu Branch of Software Platform R&D Department, Dahua Technology) ;
  • Huang, Bing Kun (School of Opto-electronic Engineering, Changchun University of Science and Technology) ;
  • Feng, Xuan (School of Opto-electronic Engineering, Changchun University of Science and Technology)
  • Received : 2022.04.26
  • Accepted : 2022.07.18
  • Published : 2022.10.25

Abstract

To overcome the capture-range problem in phase-diversity phase retrieval (PDPR), a geometrical-optics initial-estimate method is proposed to avoid a local minimum and to improve the accuracy of laser-wavefront measurement. We calculate the low-order aberrations through the geometrical-optics model, which is based on the two spot images in the propagation path of the laser, and provide it as a starting guess for the PDPR algorithm. Simulations show that this improves the accuracy of wavefront recovery by 62.17% compared to other initial values, and the iteration time with our method is reduced by 28.96%. That is, this approach can solve the capture-range problem.

Keywords

Acknowledgement

111 project of China (D21009); Ministry of Science and Technology of the People's Republic of China (2018YFB1107600); Jilin Scientific and Technological Development Program (20160204009GX, 20170204014GX).

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