基于改进粒子群算法的后向泵浦RFA设计

Design of back-pumping Raman fiber amplifier based on modified particle swarm optimization algorithm

为了满足第六代移动通信(6G)系统对光通信网络的高速率及大容量的要求,进一步提高光传输网络中光纤放大器的带宽、响应速率及放大倍数等成为目前的研究重点。在使用碲酸盐光纤作为光纤增益介质的同时,提出一种改进粒子群优化算法,通过在迭代过程中动态的调整速度、位置及惯性权重值,获得更高收敛速度,增强全局搜索的能力。应用该算法对拉曼光纤放大器的各个泵浦光参数配置进行优化、分析及仿真验证,最终设计出平均开关增益为23.738 8 dB,增益平坦度为0.209 8 dB的后向泵浦拉曼光纤放大器。结果表明,改进的粒子群优化算法对拉曼放大器泵浦光的参数配置有很强的适应性,能够获得较低的增益平坦度,对未来拉曼光纤放大器的设计具有一定的参考意义。

In order to meet the requirements of the sixth generation mobile communication(6 G) system for high speed and large capacity of optical communication network, further improving the bandwidth, response rate and amplification of optical fiber amplifier in optical transmission network has become the focus of current research. Tellurium fiber is used as fiber gain medium, and a modified particle swarm optimization algorithm is proposed, which dynamically adjusts the individual velocity, position and inertial weight values during the iterative process to obtain higher convergence speed and enhance the global search capability.The algorithm is applied to optimize, analyze and verify the configuration of each pump light parameter of Raman fiber amplifier, and finally, the average gain of the back-pumping Raman fiber amplifier is up to 23.738 8 dB and the gain fluctuation is about 0.209 8 dB.The results show that the modified particle swarm optimization algorithm can optimize the Raman fiber amplifier pump power and wavelength accurately and quickly, and can improve the performance of Raman fiber amplifier effectively, which hasa certain reference significance for the design of Raman fiber amplifier in the future.