Initial Antinoise Performance Analysis of Pupil Phase Diversity Based on Genetic Algorithm | Zendy

Huizhen Yang | Zendy; Yaoqiu Li | Zendy

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Initial Antinoise Performance Analysis of Pupil Phase Diversity Based on Genetic Algorithm

Author(s) -

Huizhen Yang,

Yaoqiu Li

Publication year - 2013

Publication title -

advances in optoelectronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.118

H-Index - 21

eISSN - 1687-5648

pISSN - 1687-563X

DOI - 10.1155/2013/721420

Subject(s) - wavefront , noise (video) , position (finance) , pupil , phase (matter) , adaptive optics , algorithm , computer science , wavefront sensor , signal (programming language) , optics , computer vision , physics , image (mathematics) , programming language , finance , quantum mechanics , economics

Pupil phase diversity (PPD) wavefront sensor is a new kind of phase-visualization methods, and the output signal of PPD represents the input pupil phase and shows a 1-1 mapping between the position of the wavefront error in the pupil and its position in the output signal. High-precisely wavefront measuring can be obtained under no noise by using appropriate phase restoration algorithm while performance of PPD under noise is unknown. We analyzed antinoise performance of PPD based on genetic algorithm (GA) through measuring the distorted wavefront under different noise level. Simulation results show that wavefront measuring is almost not affected by the existence of noise, which indicates that PPD based on GA can be used in applications with noise. © 2013 Huizhen Yang and Yaoqiu Li.

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