Asymptotic proximal point algorithm for wavefront sensorless adaptive optics

Author:

Yu Huanhuan1,Xu Xin2,Wang Yisen1ORCID,Zhang Enmao2,Luo Xiaopeng2ORCID

Affiliation:

1. GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences

2. Nanjing University

Abstract

Solving the distorted wavefront in wavefront sensorless adaptive optics (WFSL-AO) relies on excellent optimizers. Many local or global optimization algorithms have been applied to WFSL-AO; however, there is still a challenge to balance the effect and speed of correcting aberrations. To overcome this, a novel global optimization algorithm named asymptotic proximal point (APP) method is introduced into WFSL-AO in this Letter. We compare this algorithm with the various existing optimization algorithms in convergence speed and correction capability by performing numerical simulations. The results show that the APP method beats all competitors with a better correction effect and faster speed.

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences funding

Natural Science Foundation of Jiangsu Province

Publisher

Optica Publishing Group

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