Paper
4 December 2020 A new approach of wavefront sensorless adaptive optics based on moment estimation
Author Affiliations +
Proceedings Volume 11617, International Conference on Optoelectronic and Microelectronic Technology and Application; 1161729 (2020) https://doi.org/10.1117/12.2585282
Event: International Conference on Optoelectronic and Microelectronic Technology and Application, 2020, Nanjing, China
Abstract
Aiming at drawbacks of slow convergence rate and easy to fall into local optima in current control algorithms of wavefront sensorless (WFSless) adaptive optics (AO), this paper proposes a moment estimation optimization algorithm based on stochastic parallel gradient descent (SPGD) algorithm. This algorithm extracts the gradient descent term in the SPGD algorithm and applies exponentially weighted moving average (EWMA) on the gradient descent term and the square of the gradient descent term respectively: the former is used as a new gradient descent term in the SPGD algorithm to speed up the convergence rate while the latter constrains the stride to improve the correction accuracy. Numerical simulations indicate that under different turbulence strengths, proposed method can approximately reach the correction effect of diffraction limit while acquire faster convergence rate and higher correction accuracy than SPGD.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuejing Qiu and Bing Xu "A new approach of wavefront sensorless adaptive optics based on moment estimation", Proc. SPIE 11617, International Conference on Optoelectronic and Microelectronic Technology and Application, 1161729 (4 December 2020); https://doi.org/10.1117/12.2585282
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
Back to Top