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A fast model for examining the effect of intra-link power deviations on optical systems link performance

机译:用于检查链路内功率偏差对光学系统链路性能的影响的快速模型

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The classical method for designing an optical, transmission link is to formulate a deterministic design and to then consider possible statistical variations that impact its performance. That is to say, the optical transmission link would be designed with ideal real world systems parameters, an amount of systems margin would then be applied to its expected performance in order to account for transmitted variation due to the allowed systems tolerances of the optical components at the manufacturing stage, in-line transmission changes such as fibre breaks/splices, differences between expected and installed fibre plant and the effect of aging on the entire optical system. The other design method would be to consider the impact of these statistical variations at the design stage, to consider their probability distributions whose variances are summed to create a joint distribution of systems performance. This probabilistic design approach has the advantage of allowing the designer- to quantify the reliability of the designed system. The disadvantage of this approach is that it requires a significant amount of experimental measurements from a similar system or a similarly high number of results from analytical models such as the Gaussian Noise (GN) model.1 In this work we examine a previously proposed three parameter analytical fitting model designed to enable investigation of intra-link optical systems power variation compared to the incoherent GN Model.
机译:设计光学传输链路的经典方法是制定确定性设计,然后考虑可能影响其性能的统计变化。也就是说,光传输链路将被设计为具有理想的实际系统参数,然后将一定的系统余量应用于其预期性能,以解决由于光组件允许的系统公差而导致的传输变化。在制造阶段,在线传输方式会发生变化,例如光纤断裂/熔接,预期和已安装的光纤设备之间的差异以及老化对整个光学系统的影响。另一种设计方法是在设计阶段考虑这些统计变化的影响,考虑它们的方差之和的概率分布,以创建系统性能的联合分布。这种概率设计方法的优点是允许设计人员量化所设计系统的可靠性。这种方法的缺点是,它需要从相似的系统中进行大量的实验测量,或者需要从诸如高斯噪声(GN)模型之类的分析模型中获得相似数量的结果。1在这项工作中,我们研究了先前提出的三个参数分析拟合模型,旨在与不相干的GN模型相比,能够研究内部链路光学系统的功率变化。

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