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拉曼光纤放大器增益平坦度的遗传算法优化

The gain flatness optimization of Raman fiber amplifiers by using genetic algorithm
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摘要 应用遗传算法,对多波长泵浦的拉曼光纤放大器的增益曲线进行了优化设计.结果表明,当传输信号给定时,该算法能够给出增益曲线的平坦度接近最佳时的泵浦光的波长和泵浦能量的取值,从而为多波长泵浦的光纤拉曼放大器的设计提供了理论参考. The gain profile of multi-wavelength-pumped Raman fiber amplifiers was optimized by using Genetic Algorithm. The results show that it can give the optimization configuration of pump sources, which corresponds the best flat-gain profile. Therefore, these data on the configuration of pump sources can be useful for multi-wavelength- pumped RFA designing.
出处 《商丘师范学院学报》 CAS 2008年第9期52-55,共4页 Journal of Shangqiu Normal University
关键词 遗传算法 拉曼放大器 平坦度 增益 genetic algorithm Raman fiber amplifier(RFA) gain flatness gain
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参考文献12

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二级参考文献20

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