Applying the skew-normal distribution to model coherent MPI and to evaluate its impact on PAM signals

•Extended skew-normal distribution is used to model the statistics of coherent MPI.•Good agreement between coherent MPI histograms and the ESN statistics is obtained.•The impact of coherent MPI on the performance of PAM signals is studied.•An MPI level of −24 dB is estimated for achieving a 1-dB Q-p...

Full description

Saved in:
Bibliographic Details
Published in:Optical fiber technology 2020-05, Vol.56 (C), p.102180, Article 102180
Main Authors: Cancela, Luís G.C., Pires, João J.O.
Format: Article
Language:English
Subjects:
Coherent multipath interference
Extended skew-normal distribution
Optical communications
PAM systems
Q-penalty
Skewness
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Extended skew-normal distribution is used to model the statistics of coherent MPI.•Good agreement between coherent MPI histograms and the ESN statistics is obtained.•The impact of coherent MPI on the performance of PAM signals is studied.•An MPI level of −24 dB is estimated for achieving a 1-dB Q-penalty in PAM-4 systems. We statistically model the coherent multipath interference (MPI) using an extended skew-normal distribution, with the results showing a good agreement with published experimental data. This distribution is very flexible and permits to model data with large skewness values, which is a typical feature in coherent MPI histograms. Furthermore, the developed model was applied to estimate the impact of coherent MPI on PAM-4 systems, with the results showing a 1-dB Q-penalty for an MPI level of −24 dB and a bit error ratio of 10−3.
ISSN:1068-5200
1095-9912
DOI:10.1016/j.yofte.2020.102180