摘要
阐述了光纤布拉格光栅的重构理论及被广泛采用的剥层算法,指出了剥层算法在重构强反射光栅时的弊端,提出了一种剥层算法和遗传算法相结合的方法来重构强反射光栅。此方法先由剥层算法得到光栅耦合系数的初始值,再依据重新采样后的初始值创建初始种群,通过遗传算法实现对剥层算法所得结果的后半部分进行优化。数值模拟表明此方法有效地改善了剥层算法的结果,具有较快的收敛速度和很好的精度,能适用于大多数强反射光栅的重构。
The theory of fiber Bragg grating （FBG） reconstruction and the widely used layer-peeling （LP） algorithm are illustrated. The deficiency of LP algorithm in reconstructing strongly reflecting FBGs is pointed out and a hybrid method of combining genetic algorithm with LP algorithm is proposed. In this method, the preliminary values of the grating couple coefficients are obtained by using LP algorithm, and then genetic algorithm is employed to optimize the latter half of the results of the LP algorithm according to the re-sampled preliminary value with which the starting population of genetic algorithm are created. By numerical simulation, the novel method is proved to be fast convergent, very accurate, suitable for reconstructing most of strongly reflecting FBGs, and improve the result of LP algorithm effectively.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2006年第7期991-996,共6页
Acta Optica Sinica
关键词
光纤光学
光栅重构
遗传算法
剥层算法
fiber optics
grating reconstruction
genetic algorithm
layer-peeling algorithm
