Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise

Danshi Wang, Min Zhang, Ze Li, Yue Cui, Jingdan Liu, Yang Yang, Hongxiang Wang

2015 · 67 citations · 4 references

Concepts

Abstract

A machine learning-based classifier, namely SVM, is introduced to create the nonlinear decision boundary in M-ary PSK-based coherent optical system to mitigate NLPN. The maximum transmission distance and LPRD tolerance are improved by 480 km and 3.3 dBm for 8PSK.

References

4