TY - JOUR
T1 - Comparison of optical performance monitoring techniques using artificial neural networks
AU - Ribeiro, Vítor
AU - Lima, Mário
AU - Teixeira, António
PY - 2013/4/14
Y1 - 2013/4/14
N2 - In this paper, we make an overview of three techniques that have used artificial neural networks (ANNs) to model impairments in optical fiber. A comparison between a linear partial least squares regression algorithm and ANN is also shown. We demonstrate that nonlinear modeling is required for multi-impairment monitoring in optical fiber when using Parametric Asynchronous Eye Diagram (PAED). Results demonstrating the accuracy of PAED are also shown. A comparison between PAED and Synchronous Eye Diagrams is also demonstrated, for NRZ, RZ and QPSK modulated signals. We show that PAED can provide comprehensible diagrams for QPSK modulated signals, under a certain range of chromatic dispersion.
AB - In this paper, we make an overview of three techniques that have used artificial neural networks (ANNs) to model impairments in optical fiber. A comparison between a linear partial least squares regression algorithm and ANN is also shown. We demonstrate that nonlinear modeling is required for multi-impairment monitoring in optical fiber when using Parametric Asynchronous Eye Diagram (PAED). Results demonstrating the accuracy of PAED are also shown. A comparison between PAED and Synchronous Eye Diagrams is also demonstrated, for NRZ, RZ and QPSK modulated signals. We show that PAED can provide comprehensible diagrams for QPSK modulated signals, under a certain range of chromatic dispersion.
UR - https://link.springer.com/article/10.1007/s00521-013-1405-z
U2 - 10.1007/s00521-013-1405-z
DO - 10.1007/s00521-013-1405-z
M3 - Article
SN - 0941-0643
VL - 23
SP - 583
EP - 589
JO - Neural Computing and Applications
JF - Neural Computing and Applications
IS - 3-4
ER -