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Shooting algorithm and particle swarm optimization based Raman fiber amplifiers gain spectra design

机译:基于射击算法和粒子群优化的拉曼光纤放大器增益谱设计

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摘要

An initial value determination method with a contraction factor for the counter-pumped Raman coupled equations is proposed. This method is used in conjunction with initial guess correction mechanism of Newton's method to construct a new efficient shooting algorithm for the solution of counter-pumped Raman coupled equations. The particle'swarm optimization is used to find the optimal wavelengths and powers for the pumps. By combining the new shooting algorithm and particle swarm optimization a powerful approach to the design of gain spectra for Raman fiber amplifiers is developed. Using this approach a counter-pumped broadband Raman fiber amplifier in C + L-band is designed and optimized. An average on-off gain of 9.3 dB for a bandwidth of 95 nm is obtained using only 4 pumps, with an in-band ripple level of +- 0.7 dB.
机译:针对反泵拉曼耦合方程,提出了一种具有收缩因子的初值确定方法。该方法与牛顿方法的初始猜测校正机制结合使用,构造了一种新的有效的射击算法,用于解反抽拉曼耦合方程。粒子的热优化用于寻找泵的最佳波长和功率。通过将新的射击算法和粒子群优化相结合,开发了一种用于拉曼光纤放大器增益频谱设计的强大方法。使用这种方法,设计并优化了C + L波段的反向泵宽带拉曼光纤放大器。仅使用4个泵,带内纹波电平为+-0.7 dB,就可获得95 nm带宽的9.3 dB的平均开关增益。

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