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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 reconstruction theory of fiber Bragg grating and the widely used stripping algorithm are expounded. The drawbacks of stripping algorithm in the reconstruction of strong reflection grating are pointed out. A method of combining stripping algorithm and genetic algorithm is proposed to reconstruct Strong reflection grating. In this method, the initial value of the grating coupling coefficient is obtained by the stripping algorithm, then the initial population is created according to the resampled initial value, and the latter half of the obtained stripping algorithm is optimized by the genetic algorithm. Numerical simulation shows that this method can effectively improve the result of the stripping algorithm, which has faster convergence speed and better accuracy and can be applied to the reconstruction of most strong reflection gratings.