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Gain optimization of fiber optical parametric amplifier based on genetic algorithm with pump depletion

机译:基于带泵损耗遗传算法的光纤参​​量放大器增益优化

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摘要

A method to optimize the gain of a fiber optical parametric amplifier (FOPA) is presented by using a genetic algorithm (GA), which can determine the parameters of FOPA and avoid the trouble of trial and error to achieve it. The effect of pump depletion on the gain characteristic of the FOPA is emphasized, and the effects of the fiber length, the wavelength, and the power of two pumps on bandwidth, flatness, and magnitude of the gain spectrum are also studied. According to the presentation, fiber length and the wavelength of the two pumps are selected to be the variable parameters in the GA. When the parameters of the fiber are determined, with the numerical simulation, the optimum combination scheme between those chosen variables could be obtained by the algorithms with the result of the gain optimization of FOPA.
机译:提出了一种利用遗传算法(GA)来优化光纤参量放大器(FOPA)的增益的方法,该算法可以确定FOPA的参数,并且避免了反复试验的麻烦。强调了泵浦损耗对FOPA增益特性的影响,还研究了光纤长度,波长和两个泵浦功率对增益谱的带宽,平坦度和幅度的影响。根据介绍,选择两个泵的光纤长度和波长作为遗传算法中的可变参数。确定光纤的参数后,通过数值模拟,可以通过算法获得所选变量之间的最佳组合方案,并得到FOPA增益优化的结果。

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