Adaptive merit function in SPGD algorithm for beam combining

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• 作者：Guo-qing Yang 杨国庆 ; Li-sheng Liu 刘立生 ; Zhen-hua Jiang 姜振华…
• 刊名：Optoelectronics Letters
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：12
• 期：5
• 页码：398-400
• 全文大小：382 KB
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Applied Optics, Optoelectronics and Optical Devices
  Chinese Library of Science
  
• 出版者：Tianjin University of Technology, co-published with Springer-Verlag GmbH
• ISSN：1993-5013
• 卷排序：12

文摘

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.