Optimization of high-channel-count fiber Bragg grating filters design with low dispersion

摘要

An optimization-based technique for high-channel-count fiber Bragg grating (FBG) filter synthesis is proposed. The approach is based on utilizing a tailored group delay to construct a mathematical optimization model. In the objective function, both the maximum index modulation and the dispersion of FBG must be optimized simultaneously. An effective evolutionary algorithm, the differential evolution (DE) algorithm, is applied to find the optimal group delay parameter. Design examples demonstrate that the proposed approach yields a remarkable reduction in maximum index modulation with low dispersion in each channel.