Improving the Performance of IWDM FBG Sensing System Using Tabu-Gradient Search Algorithm

摘要

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