| Author(s): |
Jeffrey A. Jargon; Xiaoxia Wu; Alan Willner; |
| Title: |
Optical performance monitoring of QPSK data channels by use of neural networks trained with parameters derived from asynchronous constellation diagrams |
| Published: |
March 01, 2010 |
| Abstract: |
We demonstrate a technique for optical performance monitoring of quadrature phase-shift keying (QPSK) data channels by simultaneously identifying optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization-mode dispersion (PMD) using artificial neural networks trained with parameters derived from asynchronous constellation diagrams. A correlation coefficient of 0.987 is reported for a set of testing data from a 40 Gbps return-to-zero, quadrature phase-shift keying (RZ-QPSK) system. The root-mean-square (RMS) errors are 0.77 dB for OSNR, 18.71 ps/nm for CD, and 1.17 ps for DGD. |
| Citation: |
Optics Express |
| Volume: |
18 |
| Issue: |
5 |
| Pages: |
pp. 4931 - 4938 |
| Keywords: |
artificial neural network; asynchronous; constellation diagram; dispersion; optical performance monitoring; quadrature phase-shift keying |
| Research Areas: |
Electronics & Telecommunications, Optoelectronics |
| PDF version: |
 Click here to retrieve PDF version of paper (433KB) |
