论文部分内容阅读
文章以多泵浦拉曼光纤放大器的增益平坦度为切入点,分析了影响多泵浦FRA的增益平坦性的因素,罗列了几种不同的优化算法并着重介绍了遗传算法。研究表明,使用遗传算法优化宽带拉曼放大器是可行的。另外,使用的泵浦个数越多,所得平坦增益带宽越宽。但是,泵浦个数越多,成本也越高,计算量也越大。因此,我们要根据具体要求,选择合适的泵浦个数,力争得到最好的优化结果。
Taking the gain flatness of multi-pump Raman fiber amplifier as an example, the paper analyzes the factors which affect the gain flatness of multi-pump FRA, lists several different optimization algorithms and focuses on the genetic algorithm. The research shows that it is feasible to use genetic algorithm to optimize the broadband Raman amplifier. In addition, the greater the number of pumps used, the wider the resulting flat gain bandwidth. However, the greater the number of pumps, the higher the cost and the greater the amount of computation. Therefore, we have to select the appropriate number of pumps according to specific requirements, and strive to get the best optimization results.