By Topic

ANN-Based Optical Performance Monitoring of QPSK Signals Using Parameters Derived From Balanced-Detected Asynchronous Diagrams

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xiaoxia Wu ; Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Jargon, J.A. ; Paraschis, L. ; Willner, A.E.

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.

Published in:

Photonics Technology Letters, IEEE  (Volume:23 ,  Issue: 4 )