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

  • 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 in it. Compared with other algorithms, the PSO is simpler and faster convergent.

     

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