Coherent combining of multi-wavelength fiber amplifiers using a stochastic parallel gradient descent algorithm

被引:3
|
作者
Wang, Xiaolin [1 ]
Zhou, Pu [1 ]
Ma, Yanxing [1 ]
Ma, Haotong [1 ]
Xu, Xiaojun [1 ]
Liu, Zejin [1 ]
Zhao, Yijun [1 ]
机构
[1] Natl Univ Def Technol, Coll Optoelect Sci & Engn, Changsha 410073, Hunan, Peoples R China
关键词
fiber laser; coherent combining; multi-wavelength; non-single frequency; stochastic parallel gradient descent algorithm; BEAM COMBINATION; LASERS; POWER; OPTIMIZATION;
D O I
10.1088/2040-8978/12/7/075701
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Multi-wavelength and non-single-frequency seed lasers can be used to suppress stimulated Brillouin scattering and improve the ultimate output power of a fiber laser amplifier. Coherent combining of non-single-frequency and/or multi-wavelength lasers/amplifiers is a promising way to obtain much higher total output power than from coherent combining of single-frequency lasers/amplifiers. Using a stochastic parallel gradient descent algorithm, we demonstrate coherent combining of four-channel multi-wavelength lasers in a master oscillator power amplifier (MOPA) configuration. Four lasers with different wavelengths, namely two non-single-frequency and two single-frequency lasers, are used. The mean power of the main lobe in the closed-loop case is three times that for the open-loop case, approaching 75% of its ideal value. The coherent combining of multi-wavelength and non-single-frequency lasers in a MOPA configuration is validated, and a feasible approach for scaling to high power coherent combining is provided.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Fast and accurate modal decomposition of multimode fiber based on stochastic parallel gradient descent algorithm
    Lu, Haibin
    Zhou, Pu
    Wang, Xiaolin
    Jiang, Zongfu
    APPLIED OPTICS, 2013, 52 (12) : 2905 - 2908
  • [42] Wavefront error correction with stochastic parallel gradient descent algorithm
    Liu Jiaguo
    Li Lin
    Hu Xinqi
    Yu Xin
    Zhao Lei
    OPTICAL DESIGN AND TESTING III, PTS 1 AND 2, 2008, 6834
  • [43] Test of the stochastic parallel gradient descent algorithm in laboratory experiments
    Banakh V.A.
    Larichev A.V.
    Razenkov I.A.
    Shesternin A.N.
    Atmospheric and Oceanic Optics, 2013, 26 (4) : 337 - 344
  • [44] Stochastic parallel gradient descent algorithm for adaptive optics system
    Ma H.
    Zhang P.
    Zhang J.
    Fan C.
    Wang Y.
    Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams, 2010, 22 (06): : 1206 - 1210
  • [45] Analysis of multi-wavelength active coherent polarization beam combining system
    Ma, Pengfei
    Wang, Xiaolin
    Ma, Yanxing
    Zhou, Pu
    Liu, Zejin
    OPTICS EXPRESS, 2014, 22 (13): : 16538 - 16551
  • [46] Coherent beam combination simulation of high-power solid state lasers using stochastic parallel gradient descent algorithm
    Yang Y.
    Luo H.
    Li F.
    Wang X.
    Huang X.
    Feng B.
    Jing F.
    Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams, 2011, 23 (04): : 875 - 880
  • [47] Phase locking of sixteen laser beams using stochastic parallel gradient descent algorithm
    Zhou P.
    Wang X.
    Ma Y.
    Ma H.
    Xu X.
    Liu Z.
    Zhongguo Jiguang/Chinese Journal of Lasers, 2010, 37 (02): : 367 - 369
  • [48] A multi-wavelength gradient acceleration phase retrieval iterative algorithm
    Zhao Y.
    Gao Z.
    Dou J.
    Yuan Q.
    Gao, Zhishan (zhishgao@mail.njust.edu.cn), 1600, Science Press (44):
  • [49] Adaptive stochastic parallel gradient descent approach for efficient fiber coupling
    Hu, Qintao
    Zhen, Liangli
    Yao, Mao
    Zhu, Shiwei
    Zhou, Xi
    Zhou, Guozhong
    OPTICS EXPRESS, 2020, 28 (09) : 13141 - 13154
  • [50] Parallel multi-wavelength calibration algorithm for radio astronomical arrays
    Brossard, Martin
    El Korso, Mohammed Nabil
    Pesavento, Marius
    Boyer, Remy
    Larzabal, Pascal
    Wijnholds, Stefan J.
    SIGNAL PROCESSING, 2018, 145 : 258 - 271