基于粒子群优化的二阶拉曼光纤放大器研究

Research on second-order Raman fiber amplifier based on particle swarm optimization

为了进一步提升二阶拉曼光纤放大器(RFA)的性能指标,对二阶RFA的主要参数进行了分析。首先设计了一个可以通过光开关控制,在二阶和一阶RFA两种模式下切换的结构模型,通过模拟仿真证明了二阶RFA可以提高系统的增益,改善系统的噪声性能,然后针对二阶RFA的增益性能进行了优化,以降低平坦度为优化目标,使用粒子群算法优化泵浦光波长和功率的配置,再经过结构的改进,最终在100 nm带宽范围内实现了增益为24.50 dB,增益平坦度为0.98 dB的二阶RFA。这些结果为以后设计出性能更加完善的二阶RFA提供了参考。

In order to further improve the performance index of second-order Raman fiber amplifier,the main parameters of second-order RFA were analyzed.First,a structural model that can be controlled by optical switches and switched between two modes of traditional second-order and traditional first-order RFA is designed.It is proved through simulation that second-order RFA can increase the system gain and improve noise performance.The gain performance of first-order RFA is optimized.The optimization goal is to reduce the flatness.The particle swarm optimization algorithm is used to optimize the configuration of the wavelength and power of the pump light.After further structural improvement,a second-order RFA with a gain of 24.50 dB and a gain flatness of 0.98 dB were achieved in a 100 nm bandwidth.These results provide a reference for the design of second-order RFA with better performance in the future.