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Published on 25 September 2023
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Bao,J.;Cao,Y.;Huang,Q. (2023). Maximum gain optimization of thulium-doped fiber amplifier based on genetic algorithm for peak gain spectrum at 1800- 2000nm. Applied and Computational Engineering,10,72-78.
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Maximum gain optimization of thulium-doped fiber amplifier based on genetic algorithm for peak gain spectrum at 1800- 2000nm

Jiazhen Bao 1, Yifeng Cao *,2, Qian Huang 3
  • 1 Northeast Electric Power University
  • 2 Nanchang Hangkong University
  • 3 Wenhua College

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/10/20230143

Abstract

The optical fiber amplifier doped with rare earth elements has the characteristics of high gain, high doping concentration and short length. Compared with other fiber optic systems, the fiber used is shorter, also known as lumped fiber amplifier. At present, Er, Pr, Tm, Nd and Yb doped fiber amplifiers and lasers are mainly studied more. To further extend the transmission distance, improve the transmission quality and increase the transmission capacity, it is very important for the research of fiber amplifier. In this research, using a two-level structure, we investigate the maximum of the peak gain of the gain spectrum of a thulium-doped broadband fiber amplifier in the 1800-2000 nm wavelength range. Signal gain is inversely proportional to fiber length, doping concentration, and pump power in both the absorption spectrum and the emission spectrum, as shown by the relationship diagram of signal gain with these variables. And through the genetic algorithm data optimization, we get that when the fiber length is 2.2 µm, the maximum gain is 42.7 dB.

Keywords

peak gain spectrum, genetic algorithm optimization, thulium-doped fiber amplifier.

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Cite this article

Bao,J.;Cao,Y.;Huang,Q. (2023). Maximum gain optimization of thulium-doped fiber amplifier based on genetic algorithm for peak gain spectrum at 1800- 2000nm. Applied and Computational Engineering,10,72-78.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/
ISBN:978-1-83558-009-7(Print) / 978-1-83558-010-3(Online)
Conference date: 24 June 2023
Editor:Alan Wang, Seyed Ghaffar
Series: Applied and Computational Engineering
Volume number: Vol.10
ISSN:2755-2721(Print) / 2755-273X(Online)

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