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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 被引量:7

Optimization Design of Multi-Pump Raman Fiber Amplifiers Based on Artificial Bee Colony Algorithm
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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.
作者 陈静 周清旭 林雅婷 江灏 Chen Jing;Zhou Qingxu;Lin Yating;Jiang Hao(College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350116, China)
出处 《光学学报》 EI CAS CSCD 北大核心 2018年第6期51-56,共6页 Acta Optica Sinica
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)
关键词 光纤光学 拉曼光纤放大器 人工蜂群算法 优化设计 fiber optics Raman fiber amplifier artificial bee colony algorithm optimization design
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  • 1姜海明,谢康,王亚非.基于粒子群算法的拉曼光纤放大器的多抽运源优化[J].光电子.激光,2004,15(10):1190-1193. 被引量:9
  • 2Da Silva D V, Gomes A S L. Performance of analog optical links employing fiber Raman amplifiers[J]. Opt Commun, 2009, 282(15): 3085-3088.
  • 3Haiming Jiang, Kang Xie, Yafei Wang. Efficient extraction of input pump powers from pump power integrals in the optimization of Raman fiber amplifiers[J]. J Lightwave Technol, 2010, 28(13): 1932-1937.
  • 4Gustavo C M Ferreira, S P N Cani, M J Pontes, 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.
  • 5B Neto, A L J Teixeira, N Wada, et al.. Efficient use of hybrid genetic algorithms in the gain optimization of distributed Raman amplifiers [J]. Opt Express, 2007, 15(26): 17520-17528.
  • 6Minhui Yan, Jianping Chen, Wenning Jiang, et al.. Automatic design scheme for optical-fiber Raman amplifiers backward-pumped with multiple laser diode pumps[J]. IEEE Phonton Technol Lett 2001, 13(9): 948-950.
  • 7Haiming Jiang, Kang Xie, Yafei Wang. Pump scheme for gain-flattened Raman fiber amplifiers using improved particle swarm optimization and modified shooting algorithm[J]. Opt Express, 2010, 18(11): 11033-11045.
  • 8Haiming Jiang, Kang Xie, Yafei Wang. Shooting algorithm and particle swarm optimization based Raman fiber amplifiers gain spectra design[J]. Oot Commun, 2010, 283(13): 3348-3352.
  • 9S M Roberts, J S Shipman. Two-Point Boundary Value Problems: Shooting Methods[M]. New York: American Elsevier, 1972.
  • 10X Liu, B Lee. Effective shooting algorithm and its application to fiber amplifiers[J]. Opt Express, 2003, 11(12): 1452-1461.

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