Title :
ANN-Based Optical Performance Monitoring of QPSK Signals Using Parameters Derived From Balanced-Detected Asynchronous Diagrams
Author :
Wu, Xiaoxia ; Jargon, Jeffrey A. ; Paraschis, Loukas ; Willner, Alan E.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We demonstrate a technique of using artificial neural networks trained with parameters derived from asynchronous diagrams for optical performance monitoring of quadrature phase-shift-keying (QPSK) data signals. We show that asynchronous diagrams generated from balanced detection give superior results compared to single-ended detection in a 100 Gb/s QPSK system. Experimental demonstration verifies the effectiveness of the proposed technique.
Keywords :
neural nets; optical fibre communication; quadrature phase shift keying; ANN-based optical performance monitoring; QPSK signals; artificial neural networks; balanced-detected asynchronous diagrams; bit rate 100 Gbit/s; data signals; single-ended detection; Neural networks; optical fiber communication; optical performance monitoring; phase modulation;
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2010.2098025
