Using of intelligent particle swarm optimization algorithm to synthesis the index modulation profile of narrow ban fiber bragg grating filter

Authors:
Yumin Liu;Zhongyuan Yu
Affiliations:
School of Science, Beijing University of Posts and Telecommunications, Beijing, China;School of Science, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

A new method for synthesis of fiber Bragg gratings based filter is proposed. By combining the transmission matrix method and the particles swarm optimization algorithm, we obtain a novel method for the inverse problem of the synthesizing fiber gratings. With adjusting the parameters of the PSO algorithm we can get the demand index modulation for the target reflection spectrums including the phase response. Compared with other synthesis methods, the PSO algorithm characteristics are simple and faster convergence, especially by using the improved local PSO (LPSO) algorithm, we obtained the better results for the same problem.