Paper Title:
Research on FBG Spectral Optimization with Particle Swarm Optimization Algorithm
  Abstract

Characteristic information of FBG reflection spectra changes because of the existence of demodulation system error in the actual demodulation. The analysis of spectra for FBG under axial uniform force based on particle swarm optimization is given in this paper. Objective function is established and force experiments and numerical simulation of fiber Bragg grating have been made. The characteristic information of FBG reflection spectra under axial uniform force is extracted and theoretically reconstructed. The results show that, the improved particle swarm algorithm in fiber grating reflection spectra analysis is feasible. Also, the method has other characteristics such as high accuracy, good stability and fast convergence speed.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
690-693
DOI
10.4028/www.scientific.net/AMM.128-129.690
Citation
Z. X. Wu, Q. Qiao, F. Wu, L. L. Cai, "Research on FBG Spectral Optimization with Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 128-129, pp. 690-693, 2012
Online since
October 2011
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Price
$32.00
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