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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
2020
Source PublicationLaser Physics
ISSN1054-660X
Volume30Issue:8Pages:7
AbstractThe 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.
DOI10.1088/1555-6611/ab9118
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Indexed BySCI ; EI
Language英语
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Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/64735
Collection中国科学院长春光学精密机械与物理研究所
Recommended Citation
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.
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