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Optical Engineering

Hill-climbing algorithm based on Zernike modes for wavefront sensorless adaptive optics
Author(s): Ying Liu; Jianqiang Ma; Baoqing Li; Jiaru Chu
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Paper Abstract

To solve the local optimum problem, a modified hill-climbing algorithm based on Zernike modes is presented for wavefront sensorless adaptive optics. This algorithm adopts the Zernike mode coefficients, instead of the actuators’ voltages in a traditional hill-climbing algorithm, as the adjustable variables to optimize the object function. First, the principle of the algorithm is described. Then the efficiency of the modified and traditional hill-climbing algorithms are analyzed numerically and experimentally using a He-Ne laser beam shaping system with a 37-element unimorph deformable mirror. The results of both simulations and experiments demonstrate that the modified hill-climbing algorithm can eliminate the local optimum problem with a fast speed of about 100 iterations.

Paper Details

Date Published: 4 January 2013
PDF: 6 pages
Opt. Eng. 52(1) 016601 doi: 10.1117/1.OE.52.1.016601
Published in: Optical Engineering Volume 52, Issue 1
Show Author Affiliations
Ying Liu, Univ. of Science and Technology of China (China)
Jianqiang Ma, Ningbo Univ. (China)
Baoqing Li, Univ. of Science and Technology of China (China)
Jiaru Chu, Univ. of Science and Technology of China (China)

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