Title :
Optical performance monitoring of PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection
Author :
Wu, Xiaoxia ; Jargon, Jeffrey A. ; Jia, Zhensheng ; Paraschis, Loukas ; Skoog, Ronald A. ; Willner, Alan E.
Author_Institution :
Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.
Keywords :
delays; neural nets; optical fibre networks; optical modulation; phase shift keying; telecommunication computing; telecommunication network management; PSK data channel; PSK data signal; artificial neural network; balanced detection; delay-tap asynchronous diagram; direct detection; optical performance monitoring; Artificial neural networks; Condition monitoring; Delay; Neurons; Optical computing; Optical fiber networks; Optical noise; Optical receivers; Phase shift keying; Signal to noise ratio;
Conference_Titel :
Optical Communication, 2009. ECOC '09. 35th European Conference on
Print_ISBN :
978-1-4244-5096-1
