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基于粒子群优化算法的级联喇曼光纤放大器

Cascaded Raman fiber amplifier based on particle swarm optimization

  • 摘要: 为了在较高的净增益条件下实现最小化喇曼增益平坦度,采用粒子群优化算法对As-S光纤与碲基光纤级联的光纤放大器各抽运光参量优化配置的方法,进行了理论分析和实验验证。结果表明,应用上述方法对得到的3组优化结果进行对比,在带宽为40nm的级联喇曼光纤放大器上,达到了平均增益为53.25dB、增益平坦度为0.30dB的较高性能。与传统光纤放大器和现有的级联光纤放大器相比,使用粒子群优化算法对各抽运光的功率和波长优化后,会使级联光纤放大器性能明显提高,这在未来的光纤通信中具有一定实用价值。

     

    Abstract: In order to achieve the purpose of minimizing the flatness of Raman gain under the condition of high net gain, particle swarm optimization (PSO) algorithm was used to optimize the pump parameters of As-S fiber and tellurium based fiber amplifier. Theoretical analysis and experimental verification were carried out. Using the above method to compare the obtained three sets of optimization results, it is found that the average gain is 53.25dB and the corresponding gain flatness is 0.30dB on the cascaded Raman fiber amplifier with a bandwidth of 40nm. The results show that, compared with the traditional fiber amplifiers, the performance of the cascaded fiber amplifier will be significantly improved after the optimization of the power and wavelength of each pump light by using particle swarm optimization algorithm, which has a certain practical value in the future fiber communication.

     

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