Improving the performance of IWDM FBG sensing system using Tabu-gradient search algorithm

Authors

Xingyuan Xu, University of Wollongong
Joe F. Chicharo, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow

RIS ID

17527

Publication Details

This paper was originally published as: Xu, X, Chicharo, J & Xi, J, Improving the performance of IWDM FBG sensing system using Tabu-gradient search algorithm, International Symposium on Intelligent Signal Processing and Communications 2006 (ISPACS '06), Yonago, Japan, 12-15 December 2006, 788-791. Copyright IEEE 2006.

Abstract

A Tabu-gradient search algorithm is presented for improving the performance of FBG sensors in an intensity and wavelength-division multiplexed sensing system. Simulation results demonstrated that by using this technique the Bragg wavelengths of the FBG sensors can be accurately and quickly detect even when the original spectrums of FBG sensors can not be pre-determined.