Adaptive merit function in SPGD algorithm for beam combining

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 t...

Full description

Saved in:
Bibliographic Details
Published inOptoelectronics letters Vol. 12; no. 5; pp. 398 - 400
Main Author 杨国庆 刘立生 姜振华 王挺峰 郭劲
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University of Technology 01.09.2016
Springer Nature B.V
Subjects
Adaptive algorithms
Computer simulation
D算法
Laser beams
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
SPG
Turbulence
价值函数
梯度下降
波束指向
激光输出
自适应
评价函数
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography: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.
12-1370/TN
pointing turbulence exponential correction merit radius stochastic chosen descent disturbance
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-016-6150-y