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Optimization noise figure of fiber Raman amplifier based on bat algorithm in optical communication network

机译:基于蝙蝠算法的光通信网络中光纤拉曼放大器的最佳噪声系数

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Designing Raman amplifier with high On-Off again and low noise figure is required in in optical communication networks, due to wide and tunable amplification and low nonlinearity. This paper proposes a new configuration design to the single mode fiber Raman amplifier using a multi-objective bat algorithm. The main aim of the proposed method is to preserve the values of noise figure and ripple of the amplifier as low as possible while keeping the values of laser wavelength and the amplifier powers are high. The simulation results show that increasing the number of iterations is required, which would result in a flat gain spectrum with a considerable enhancement in the noise figure and minimal gain ripple that reaches to less than 0.18 DB.
机译:由于宽广且可调的放大率和低非线性,光通信网络中需要再次设计具有高开-关和低噪声系数的拉曼放大器。本文提出了一种采用多目标蝙蝠算法的单模光纤拉曼放大器的新配置设计。所提出的方法的主要目的是在保持激光波长和放大器功率高的同时,将噪声系数和放大器的纹波值保持在尽可能低的水平。仿真结果表明,需要增加迭代次数,这将导致平坦的增益谱,并且噪声系数显着提高,并且最小增益纹波达到0.18 DB以下。

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