4.5 Article

Nonparameter Nonlinear Phase Noise Mitigation by Using M-ary Support Vector Machine for Coherent Optical Systems

Journal

IEEE PHOTONICS JOURNAL
Volume 5, Issue 6, Pages -

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOT.2013.2287565

Keywords

Nonlinear phase noise; quadratic amplitude modulation (QAM); support vector machine (SVM); M-ary SVM

Funding

  1. National Basic Research Program of China (973 Program) [2012CB315605]
  2. National Natural Science Foundation [61271191, 61271193, 61072054]
  3. Fundamental Research Funds for the Central Universities
  4. State Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications)

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The M-ary support vector machine (SVM) is introduced as a nonparameter nonlinear phase noise (NLPN) mitigation approach for the coherent optical systems. The NLPN tolerance of the system can be improved by using the M-ary SVM to conduct nonlinear detection. In this scheme, SVMs with different classification strategies are utilized to execute binary classification for signals impaired by fiber NLPN. Since the separating hyperplane of each SVM is constructed by training data, this scheme is independent from the knowledge of the transmission link. In numerical simulation, the M-ary SVM performs better than the method of amplitude-dependent phase rotation at the transmitter and receiver, as well as the maximum likelihood detection with back rotation.

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