Numerical and experimental study on coherent beam combining using an improved stochastic parallel gradient descent algorithm
J. K. Song,Y. Y. Li,D. B. Che and T. F. Wang
刊名Laser Physics
2020
卷号30期号:8页码:7
ISSN号1054-660X
DOI10.1088/1555-6611/ab9118
英文摘要The adaptive gradient (AdaGrad) method is an optimization algorithm widely used in the field of artificial intelligence. An adaptive gradient stochastic parallel gradient descent (SPGD) algorithm (AdaSPGD algorithm), combining an AdaGrad algorithm with an SPGD algorithm, is innovatively introduced and implemented in coherent beam synthesis. The performance of a coherent beam combination system utilizing the AdaSPGD method is validated by numerical simulation of straightening static phase aberrations. The results of the simulations indicate that the AdaSPGD algorithm not only can effectively solve the trouble of difficulty in selecting the gain coefficient in the actual beam combining system, but also can accelerate the convergence of the phase control algorithm. Furthermore, the effectiveness of the proposed algorithm is demonstrated by means of the experimental investigation on coherent beam synthesis of a two-channel fiber array. The AdaSPGD algorithm is a satisfactory modification of the conventional SPGD algorithm.
URL标识查看原文
语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/64735]  
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
J. K. Song,Y. Y. Li,D. B. Che and T. F. Wang. Numerical and experimental study on coherent beam combining using an improved stochastic parallel gradient descent algorithm[J]. Laser Physics,2020,30(8):7.
APA J. K. Song,Y. Y. Li,D. B. Che and T. F. Wang.(2020).Numerical and experimental study on coherent beam combining using an improved stochastic parallel gradient descent algorithm.Laser Physics,30(8),7.
MLA J. K. Song,Y. Y. Li,D. B. Che and T. F. Wang."Numerical and experimental study on coherent beam combining using an improved stochastic parallel gradient descent algorithm".Laser Physics 30.8(2020):7.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace