| YANG Guo-qing,LIU Li-sheng,JIANG Zhen-hua,WANG Ting-feng,GUO Jin.Adaptive merit function in SPGD algorithm for beam combining[J].Optoelectronics Letters,2016,12(5):398-400 |
| Adaptive merit function in SPGD algorithm for beam combining |
| Author Name | Affiliation | | YANG Guo-qing | State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China
University of Chinese Academy of Science, Beijing 100049, China | | LIU Li-sheng | State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China | | JIANG Zhen-hua | State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China | | WANG Ting-feng | State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China | | GUO Jin | State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China |
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| 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. |
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