光电子快报(英文版), 2016, 12 (5): 398, Published Online: Oct. 12, 2017
Adaptive merit function in SPGD algorithm for beam combining
Abstract
The beam pointing is the most crucial issue for beam combining to achieve high energy laser output. In order to meet the turbulence situation, a beam pointing method that cooperates with the stochastic parallel gradient descent (SPGD) algorithm is proposed. The power-in-the-bucket (PIB) is chosen as the merit function, and its radius changes gradually during the correction process. The linear radius and the exponential radius are simulated. The results show that the exponential radius has great promise for beam pointing.
YANG Guo-qing, LIU Li-sheng, JIANG Zhen-hua, WANG Ting-feng, GUO Jin. Adaptive merit function in SPGD algorithm for beam combining[J]. 光电子快报(英文版), 2016, 12(5): 398.