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http://dx.doi.org/10.3807/COPP.2022.6.5.473

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)
Publication Information
Current Optics and Photonics / v.6, no.5, 2022 , pp. 473-478 More about this Journal
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
Capture range; Geometric optics; Laser wavefront; Phase diversity phase retrieval;
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