10 February 2017 A fast model for examining the effect of intra-link power deviations on optical systems link performance
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Proceedings Volume 10325, Optical Fibers and Their Applications 2017; 103250Q (2017) https://doi.org/10.1117/12.2271016
Event: 17th Conference on Optical Fibres and Their Applications, 2017, Supraśl, Poland, Poland
Abstract
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.
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Hou-Man Chin, Hou-Man Chin, Jarosław P. Turkiewicz, Jarosław P. Turkiewicz, } "A fast model for examining the effect of intra-link power deviations on optical systems link performance", Proc. SPIE 10325, Optical Fibers and Their Applications 2017, 103250Q (10 February 2017); doi: 10.1117/12.2271016; https://doi.org/10.1117/12.2271016
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