Optimization of bismuth-doped fiber amplifier gain spectrum based on genetic algorithm in 1200 nm-1600 nm

Abstract

With the continuous evolution of communication technology, and the rapid rise of fiber optic communication in China However, the transmission distance of fiber optic communication is limited due to its fiber loss, so fiber optic amplifier has become one of the key research topics today. Currently on the market is a large-scale commercial bait-doped fiber amplifier, although it has the advantage of low noise and high gain, its effective amplification band is only concentrated in 1530 nm-1620 nm, however, there are many important transmission band amplification there are still research gaps. As a result, the focus of this paper’s research is on optimizing the gain spectrum of a bismuth-doped fiber amplifier at wavelengths between 1200 and 1600 nm using modelling and numerical simulation. The research method of this paper is as follows: first of all, after the literature survey, this topic is using the three-energy level structure, and then collecting the data of pump light wavelength and emission absorption cross-section, signal light emission, and absorption cross-section. fit the data to the graph line, and call the genetic optimization algorithm to derive the gain spectrum optimal value. It’s found that when the pump light wavelength is 1230 nm, fiber length is 2 m, bismuth ion doping concentration is 10.0×1024 ions/m3, the signal light wavelength is 1330 m, its amplifier gain spectrum reaches a peak of 57.17 dB, which is consistent with the results of the three-layer cycle (manual search).