Comparison of optical performance monitoring techniques using artificial neural networks

被引：1
|
作者：
Ribeiro, Vitor [1 ]
Lima, Mario [1 ]
Teixeira, Antonio [1 ]
机构：
[1] Inst Telecomunicacoes, P-3810193 Aveiro, Portugal
来源：
NEURAL COMPUTING & APPLICATIONS | 2013年 / 23卷 / 3-4期
关键词：
Optical performance monitoring; Artificial neural networks; Partial least squares; Parametric asynchronous eye diagram; Delay-Tap Asynchronous Sampling; Asynchronous amplitude histograms; DISPERSION;
D O I：
10.1007/s00521-013-1405-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：583 / 589
页数：7
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