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  • Received: Feb. 12, 2020

    Accepted: Jul. 1, 2020

    Posted: Sep. 10, 2020

    Published Online: Sep. 10, 2020

    The Author Email: Xiaoguang Li (xgli@szu.edu.cn)

    DOI: 10.1017/hpl.2020.29

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    Lei Xia, Yuanzhang Hu, Wenyu Chen, Xiaoguang Li. Decoupling of the position and angular errors in laser pointing with a neural network method[J]. High Power Laser Science and Engineering, 2020, 8(3): 03000e28

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High Power Laser Science and Engineering, Vol. 8, Issue 3, 03000e28 (2020)

Decoupling of the position and angular errors in laser pointing with a neural network method

Lei Xia1,2, Yuanzhang Hu1, Wenyu Chen1, and Xiaoguang Li1,*

Author Affiliations

  • 1Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
  • 2Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China

Abstract

In laser-pointing-related applications, when only the centroid of a laser spot is considered, then the position and angular errors of the laser beam are often coupled together. In this study, the decoupling of the position and angular errors is achieved from one single spot image by utilizing a neural network technique. In particular, the successful application of the neural network technique relies on novel experimental procedures, including using an appropriate small-focal-length lens and tilting the detector, to physically enlarge the contrast of different spots. This technique, with the corresponding new system design, may prove to be instructive in the future design of laser-pointing-related systems.

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