Abstract:Abstract-This paper presents an alternative derivation of the Gaussian noise (GN) model of the nonlinear interference (NLI) in strongly dispersive optical systems. The basic idea is to exploit an enhanced regular perturbation expansion of the NLI, which highlights several interesting features of the GN model. Using the framework, we derive a fast algorithm to evaluate the received NLI power spectral density (PSD) for any input PSD. In the paper we also provide an asymptotic expression of the NLI PSD which furt… Show more
“…For the sake of simplicity, we set the idea in single-polarization and single channel (extensions to WDM and PDM are straightforward). The NLI is an infinite sum of contributions, thus, to get the NLI auto-correlation we need the crosscorrelation between any NLI outgoing paths z and s. Along such paths, relating the input/output correlation across any linear block is just a matter of linear system theory [13]. The challenge regards nonlinear blocks.…”
Section: Application To Statistical Modelingmentioning
confidence: 99%
“…1(right)). Under the key GN-model assumption of a stationary Gaussian input [2], in the alternative GN model derivation [13] it was shown that such a relation takes the remarkably simple form:…”
Section: Application To Statistical Modelingmentioning
confidence: 99%
“…The resulting model was called EGN. By operating instead in the time domain, as in [13], we get the EGN-alternative but equivalent result:…”
Section: Application To Statistical Modelingmentioning
Abstract:We review the basics of perturbation models and discuss the main implications in modeling the variance of the nonlinear interference. A modulation format dependent theoretical model for the perturbative interference is proposed.
“…This nonlinear noise can be described as a Gaussian noise [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], at least in dispersion uncompensated (DU) coherent systems. Gaussian nature of the nonlinear interference (NLI) noise fields is conditioned by Gaussian distribution of the information sampled signal [4][5][6][14][15][16].…”
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