Design of fiber Bragg gratings using particle swarm optimization
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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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