Residual network-based aberration correction in a sensor-less adaptive optics system

doi:10.1016/j.optcom.2023.129707

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	Residual network-based aberration correction in a sensor-less adaptive optics system
	W. Liu; X. Ma; D. Jin; W. Shi; H. Gu and J. Cao
	2023
发表期刊	Optics Communications
ISSN	00304018
卷号	545
摘要	The performance of free-space optical communication (FSOC) is often affected by atmospheric turbulence. The sensor-less adaptive optics (SLAO) system is an effective method for overcoming the effects of atmospheric turbulence. The performance of the control algorithm in the SLAO system directly determines whether the SLAO system can effectively correct wavefront aberrations. In this study, we introduce a residual network (ResNet) as a control algorithm to replace the traditional control algorithm. By lowering the number of iterations, this strategy enhances the real-time performance of the FSOC system. The final ResNet model can achieve an accuracy of 0.98 for training and 0.92 for testing. The simulation results show that stochastic parallel gradient descent (SPGD) algorithm takes 700 times longer and requires at least 500 iterations to achieve the same performance as ResNet. And we verify the feasibility of the ResNet model by setting up an experiment. © 2023 Elsevier B.V.
DOI	10.1016/j.optcom.2023.129707
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67721
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	W. Liu,X. Ma,D. Jin,et al. Residual network-based aberration correction in a sensor-less adaptive optics system[J]. Optics Communications,2023,545.
APA	W. Liu,X. Ma,D. Jin,W. Shi,&H. Gu and J. Cao.(2023).Residual network-based aberration correction in a sensor-less adaptive optics system.Optics Communications,545.
MLA	W. Liu,et al."Residual network-based aberration correction in a sensor-less adaptive optics system".Optics Communications 545(2023).

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