Experimental Verification of Model-Based Wavefront Sensorless Adaptive Optics System for Large Aberrations
Huizhen Yang, Yongqiang Miao, Peng Chen, Zhiguang Zhang, Zhaojun Yan

TL;DR
This paper tests a new model-based system for correcting large optical distortions more efficiently than traditional methods.
Contribution
The paper experimentally validates a model-based wavefront sensorless AO system for improved correction of large aberrations.
Findings
The model-based system maintains consistent convergence speed even with strong turbulence.
Compared to SPGD, the model-based approach shows better performance in correcting large aberrations.
The system demonstrates robustness and improved applicability under high turbulence levels.
Abstract
To address the limitations of conventional wavefront sensorless adaptive optics (AO) systems regarding iteration efficiency and convergence speed, this study conducts an experimental validation of a model-based wavefront sensorless AO approach. A physical experimental platform was established, which consisted of a light source, a Shack–Hartmann wavefront sensor, a deformable mirror (DM), and an imaging detector. Wavefront aberrations under different turbulence levels were employed as correction objects to evaluate the performance of the model-based wavefront sensorless AO system. For comparative analysis, experimental results obtained by using the classical stochastic parallel gradient descent (SPGD) control algorithm are also presented. Under identical software and hardware conditions, the experimental results show that as the turbulence level increases, the SPGD-based wavefront…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Optical Wireless Communication Technologies · Advanced optical system design
