应用光学, 2009, 30 (4): 674, 网络出版: 2010-05-31
用粒子群优化算法设计光纤布拉格光栅
Design of fiber Bragg gratings using particle swarm optimization
光纤布拉格光栅 粒子群优化算法 二元相位取样光栅 色散补偿 fiber Bragg grating PSO algorithm binary phase-sampled FBG dispersion compensation
摘要
用粒子群优化(PSO)算法对二元相位取样光栅进行优化设计。实现了利用二元相位取样光栅对多信道色散和色散斜率的同时补偿。设计得到的二元相位取样光栅的反射谱各信道均匀,时延线性好,带宽、色散量和色散斜率可以根据实际的光纤类型来调整,对折射率调制要求较低。由于只有π相移,因此其制作比多级相位取样光栅相对简单。与其他优化方法相比,粒子群优化算法具有简单、收敛速度快等优点。
Abstract
The binary phase-sampled fiber Bragg gratings (FBG) were designed and optimized using Particle Swarm Optimization (PSO). The dispersion and its slope can be compensated by using binary phase-sampled FBG. The binary phase-sampled FBG was obtained,whose reflective spectrum is uniform, time delay is linear, bandwidth, dispersion and its slope could be adjusted according to the type of fiber, and the required index change is small. Its fabrication is simpler than multilevel phase-sampled FBG because there is only phase shift of π in it. Compared with other algorithms, the PSO is simpler and faster convergent.
谢军华, 秦子雄, 曾庆科, 欧启标, 黄富, 周恒超. 用粒子群优化算法设计光纤布拉格光栅[J]. 应用光学, 2009, 30(4): 674. XIE Jun-hua, QIN Zi-xiong, ZENG Qing-ke, OU Qi-biao, HUANG Fu, ZHOU Heng-chao. Design of fiber Bragg gratings using particle swarm optimization[J]. Journal of Applied Optics, 2009, 30(4): 674.