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基于人工蜂群算法的多抽运拉曼光纤放大器优化设计
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  • 英文篇名:Optimization Design of Multi-Pump Raman Fiber Amplifiers Based on Artificial Bee Colony Algorithm
  • 作者:陈静 ; 周清旭 ; 林雅婷 ; 江灏
  • 英文作者:Chen Jing;Zhou Qingxu;Lin Yating;Jiang Hao;College of Electrical Engineering and Automation,Fuzhou University;
  • 关键词:光纤光学 ; 拉曼光纤放大器 ; 人工蜂群算法 ; 优化设计
  • 英文关键词:fiber optics;;Raman fiber amplifier;;artificial bee colony algorithm;;optimization design
  • 中文刊名:GXXB
  • 英文刊名:Acta Optica Sinica
  • 机构:福州大学电气工程与自动化学院;
  • 出版日期:2018-01-30 09:53
  • 出版单位:光学学报
  • 年:2018
  • 期:v.38;No.435
  • 基金:国家自然科学基金青年科学基金(61703105,61703106);; 福建省自然科学基金面上项目(2017J01500);; 福建省教育厅中青年科研项目(JAT170107);; 福建省高校青年自然科学基金重点项目(JZ160415);; 福州大学引进人才科研启动项目(XRC-1623,XRC-17011)
  • 语种:中文;
  • 页:GXXB201806008
  • 页数:6
  • CN:06
  • ISSN:31-1252/O4
  • 分类号:59-64
摘要
针对多抽运拉曼光纤放大器的优化设计,将人工蜂群算法与平均功率法相结合,应用于拉曼光纤放大器反向抽运的优化配置。在满足给定的净增益条件下,以最小化拉曼增益波动为优化目标建立优化模型,运用平均功率法对拉曼散射方程进行求解,并采用人工蜂群算法获得抽运波长和抽运功率的最优配置。采用上述方法分别对C波段和C+L波段的拉曼光纤放大器进行设计,实验结果表明,在不同净增益设计条件下均能得到小于±0.4dB的增益波动。相比现有方法,人工蜂群算法与平均功率法的结合具有较强的设计性能,能够得到更为平坦的优化结果,具有一定的实用价值。
        Aiming at the optimization design of Raman fiber amplifier with multiple backward pumps,we combine the artificial bee colony algorithm with the average power analysis to optimize the configuration of backward pump of Raman fiber amplifier.On the basis of the given gain,the optimized model is established in order to minimize the ripple of Raman gain.The average power analysis is utilized to solve Raman scattering equations,and the artificial bee colony algorithm is employed to find the optimal pump wavelength and pump power.The proposed method is used to design the Raman fiber amplifier at C band and C+L band.The results show that the gain ripple can be controlled below ±0.4 dB under different net gain levels.Compared with the existing methods,the combination of artificial bee colony algorithm and average power analysis has a good performance and can obtain the flatter optimization results,which has certain practical value.
引文
[1]Supradeepa V,Feng Y,Nicholson J W.Raman fiber lasers[J].Journal of Optics,2017,19(2):023001.
    [2]Feng Y,Jiang H W,Zhang L.Advances in high power Raman fiber laser technology[J].Chinese Journal of Lasers,2017,44(2):0201005.冯衍,姜华卫,张磊.高功率拉曼光纤激光器技术研究进展[J].中国激光,2017,44(2):0201005.
    [3]Li H X,Zhang R.Progress of fiber amplification network and its application[J].Laser&Optoelectronics Progress,2017,54(1):010002.李宏勋,张锐.光纤放大网络及其应用研究进展[J].激光与光电子学进展,2017,54(1):010002.
    [4]Ferreira G C M,Cani S P N,Pontes M J,et al.Optimization of distributed Raman amplifiers using a hybrid genetic algorithm with geometric compensation technique[J].IEEE Photonics Journal,2011,3(3):390-399.
    [5]Yan M H,Chen J P,Jiang W N,et al.Automatic design scheme for optical-fiber Raman amplifiers backward-pumped with multiple laser diode pumps[J].IEEE Photonics Technology Letters,2001,13(9):948-950.
    [6]Jiang H M,Xie K,Wang Y F.Pump scheme for gain-flattened Raman fiber amplifiers using improved particle swarm optimization and modified shooting algorithm[J].Optics Express,2010,18(11):11033-11045.
    [7]Jiang H M,Xie K,Wang Y F.Shooting algorithm and particle swarm optimization based Raman fiber amplifiers gain spectra design[J].Optics Communications,2010,283(17):3348-3352.
    [8]Jiang H M,Xie K,Wang Y F.Flat gain spectrum design of Raman fiber amplifiers based on particle swarm optimization and average power analysis technique[J].Optics and Lasers in Engineering,2012,50:226-230.
    [9]Chen J,Jiang H,Liu T D,et al.Optimization for Raman fiber amplifiers based on least squares support vector regression model[J].Acta Optica Sinica,2015,35(11):1123004.陈静,江灏,刘暾东,等.基于最小二乘支持向量回归模型的拉曼光纤放大器优化设计[J].光学学报,2015,35(11):1123004.
    [10]Khalaf A A M,Mustafa F M.Raman amplifier performance under new wavelength ranges[J].Journal of Optical Communications,2016,37(1):9-21.
    [11]Tong Z,Wei H,Jian S S.Numerical simulation and optimization of broadband fiber Raman amplifiers using multi-wavelength pumps[J].Acta Optica Sinica,2003,23(2):193-196.童治,魏淮,简水生.多波长抽运宽带光纤拉曼放大器的数值模拟与优化[J].光学学报,2003,23(2):193-196.
    [12]Karaboga D,Basturk B.A powerful and efficient algorithm for numerical function optimization:artificial bee colony(ABC)algorithm[J].Journal of Global Optimization,2007,39(3):459-471.
    [13]Karaboga D,Gorkemli B,Ozturk C,et al.A comprehensive survey:artificial bee colony(ABC)algorithm and applications[J].Artificial Intelligence Review,2014,42(1):21-57.
    [14]Akay B,Karaboga D.Artificial bee colony algorithm variants on constrained optimization[J].An International Journal of Optimization and Control:Theories&Applications,2017,7(1):98-111.
    [15]Jiang H M,Xie K,Wang Y F.Novel design of flat gain spectrum Raman fiber amplifiers based on ant colony optimization[J].IEEE Phontonics Technology Letters,2011,23(23):1823-1825.
    [16]Jiang H M,Xie K,Wang Y F.Optimization of pump parameters for gain flattened Raman fiber amplifiers based on artificial fish school algorithm[J].Optics Communications,2011,284:5480-5483.

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