Jargon, J.
, Wu, X.
, Christen, L.
, Willner, A.
and Paraschis, L.
(2008),
Monitoring I/Q data and pulse carving misalignments in RZ-DQPSK transmitters using a neural network approach, The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society, Newport Beach, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=33152
(Accessed April 26, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Monitoring I/Q data and pulse carving misalignments in RZ-DQPSK transmitters using a neural network approach
Published
Author(s)
, Xiaoxia Wu, Louis Christen, Alan Willner, Loukas Paraschis
Abstract
We propose a technique using artificial neural networks (ANNs) to simultaneously identify I/Q data misalignment and data/carver misalignment in both parallel-type and serial-type RZ-DQPSK transmitters. A correlation coefficient of 0.99 is obtained by using a 3-input ANN for the parallel case and a 2-input ANN for the serial case.Proceedings Title
The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society
Conference Dates
November 9-13, 2008
Conference Location
Newport Beach, CA
Pub Type
Conferences
Download Paper
Keywords
Artificial neural network, fiber optics communications, return-to-zero differential quadrature phase-shift-keying (RZ-DQPSK), synchronization monitoring.
Citation
Created November 1, 2008, Updated February 19, 2017