| Author(s): |
Jeffrey A. Jargon; Xiaoxia Wu; Zhensheng Jia; Loukas Paraschis; Ronald Skoog; Alan Willner; |
| Title: |
Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection |
| Published: |
September 20, 2009 |
| 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. |
| Proceedings: |
35th European Conference on Optical Communications |
| Pages: |
2 pp. |
| Location: |
Vienna, -1 |
| Dates: |
September 20-24, 2009 |
| Keywords: |
artificial neural network; asynchronous sampling; balanced detection; optical performance monitoring |
| Research Areas: |
Optoelectronics |
| PDF version: |
 Click here to retrieve PDF version of paper (486KB) |
