A technique using artificial neural networks to simultaneously identify OSNR, CD, and PMD from eye-diagram parameters is demonstrated both via simulation and experimentally in 40 Gb/s OOK and DPSK systems. A correlation coefficient of 0.99 is obtained for the testing data of both systems.
Conference Dates: September 21-25, 2008
Conference Location: Brussels, BE
Conference Title: 34th European Conference and Exhibition on Optical Communication
Pub Type: Conferences
artificial neural network, chromatic dispersion, differential group delay, eye diagram, optical performance monitoring, optical signal-to-noise ratio.