Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System

Coherent beam combining (CBC) with closely arranged centrosymmetric arrays is a promising way to obtain a high-brightness laser. An essential task in CBC is to actively control the piston phases of the input beams, maintaining the correct phasing to maximize the combination efficiency. By applying t...

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Main Authors: Haolong Jia, Jing Zuo, Qiliang Bao, Chao Geng, Yihan Luo, Ao Tang, Jing Jiang, Feng Li, Jianpeng Ren, Xinyang Li
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/9/1/49
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author Haolong Jia
Jing Zuo
Qiliang Bao
Chao Geng
Yihan Luo
Ao Tang
Jing Jiang
Feng Li
Jianpeng Ren
Xinyang Li
author_facet Haolong Jia
Jing Zuo
Qiliang Bao
Chao Geng
Yihan Luo
Ao Tang
Jing Jiang
Feng Li
Jianpeng Ren
Xinyang Li
author_sort Haolong Jia
collection DOAJ
description Coherent beam combining (CBC) with closely arranged centrosymmetric arrays is a promising way to obtain a high-brightness laser. An essential task in CBC is to actively control the piston phases of the input beams, maintaining the correct phasing to maximize the combination efficiency. By applying the neural network, the nonlinear mapping relationship between the far-field image and the piston phase could be established, so that the piston phase can be corrected quickly with one step, which caused widespread concern. However, there exists a piston-type phase ambiguity problem in the CBC system with centrosymmetric arrays, which means that multiple different piston phases may generate the same far-field image. This will prevent the far-field image from correctly reflecting the phase information, which will result in a performance degradation of the image-based intelligent algorithms. In this paper, we make a theoretical analysis of phase ambiguity. A method to solve phase ambiguity is proposed, which requires no additional optical devices. We designed simulations to verify our conclusions and methods. We believe that our work solves the phase ambiguity problem in theory and is conducive to improving the performance of image-based algorithms.
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spelling doaj.art-b6d93dd5eda24ad694ccb454105d8a522023-11-23T15:06:34ZengMDPI AGPhotonics2304-67322022-01-01914910.3390/photonics9010049Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining SystemHaolong Jia0Jing Zuo1Qiliang Bao2Chao Geng3Yihan Luo4Ao Tang5Jing Jiang6Feng Li7Jianpeng Ren8Xinyang Li9Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaChengdu Boltzmann Intelligence Technology Co., Ltd., Chengdu 610094, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaCoherent beam combining (CBC) with closely arranged centrosymmetric arrays is a promising way to obtain a high-brightness laser. An essential task in CBC is to actively control the piston phases of the input beams, maintaining the correct phasing to maximize the combination efficiency. By applying the neural network, the nonlinear mapping relationship between the far-field image and the piston phase could be established, so that the piston phase can be corrected quickly with one step, which caused widespread concern. However, there exists a piston-type phase ambiguity problem in the CBC system with centrosymmetric arrays, which means that multiple different piston phases may generate the same far-field image. This will prevent the far-field image from correctly reflecting the phase information, which will result in a performance degradation of the image-based intelligent algorithms. In this paper, we make a theoretical analysis of phase ambiguity. A method to solve phase ambiguity is proposed, which requires no additional optical devices. We designed simulations to verify our conclusions and methods. We believe that our work solves the phase ambiguity problem in theory and is conducive to improving the performance of image-based algorithms.https://www.mdpi.com/2304-6732/9/1/49coherent beam combiningcentrosymmetric arrayspiston phasesphase ambiguity
spellingShingle Haolong Jia
Jing Zuo
Qiliang Bao
Chao Geng
Yihan Luo
Ao Tang
Jing Jiang
Feng Li
Jianpeng Ren
Xinyang Li
Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
Photonics
coherent beam combining
centrosymmetric arrays
piston phases
phase ambiguity
title Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
title_full Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
title_fullStr Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
title_full_unstemmed Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
title_short Discussion on Piston-Type Phase Ambiguity in a Coherent Beam Combining System
title_sort discussion on piston type phase ambiguity in a coherent beam combining system
topic coherent beam combining
centrosymmetric arrays
piston phases
phase ambiguity
url https://www.mdpi.com/2304-6732/9/1/49
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