Title :
A new optimal algorithm for multipump sources of distributed fiber Raman amplifier
Author :
Xiao, Pengcheng ; Zeng, Qingji ; Huang, Jun ; Liu, Jimin
Author_Institution :
R&D Center for Broadband Opt. Networking Technol., Shanghai Jiao Tong Univ., China
Abstract :
The most important feature of the Raman-gain spectrum is that the peak-gain wavelength only depends on the pump wavelength (fixed shift about 100 nm). Using this feature, a new optimal algorithm for multipump sources of a distributed fiber Raman amplifier is designed. The numerical analysis results show that the optimal algorithm is simple and effective.
Keywords :
Raman lasers; feedforward neural nets; optical engineering computing; optical fibre amplifiers; optical pumping; Raman-gain spectrum; distributed fiber Raman amplifier; multipump sources; numerical analysis; optimal algorithm; optimal-configuration algorithm; peak-gain wavelength; pump wavelength; single-layer feedforward neural networks model; Distributed amplifiers; Doped fiber amplifiers; Feedforward neural networks; Frequency; Neural networks; Optical fiber amplifiers; Raman scattering; Semiconductor optical amplifiers; Stimulated emission; US Department of Transportation;
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2002.806086
