Item Details

Nonlinear Signal-Noise Interaction in Optical Fiber Transmission

Maiti, Deepyaman
Format
Thesis/Dissertation; Online
Author
Maiti, Deepyaman
Advisor
Brandt-Pearce, Maite
Abstract
In a long-haul optical fiber communication system, fiber attenuation, dispersion, and nonlinearity combine with non-deterministic noise from optical amplifiers used for periodic regeneration and cause adverse effects on system performance. In this dissertation, we study and mitigate such undesirable effects. We present a modified nonlinear decision feedback equalizer designed for use in a legacy optical communication system with periodic dispersion compensation. The effects of noise and nonlinearity on the equalizer coefficients are investigated, and a suboptimal convergence algorithm to reduce such effects is proposed and verified. Noting the limited ability of existing signal processing tools to combat signal-noise nonlinear interaction effects, we next consider a fundamental scenario to study these effects. We apply Gaussian mixture modeling (GMM) techniques to better understand how noise interacts with the signal in a nonlinear optical fiber span. We validate our technique and learn that at higher levels of nonlinearity, the GMM analysis is more accurate than an additive Gaussian noise or a Volterra series transfer function model. Finally we present an approach to generalize our analysis. We validate our claims that transmitting a small number of pulses is a good approach to predict the analysis of a practical communication system. We also show that using a 3- or higher-order GMM is necessary to fully understand the nonlinear interaction.
Language
English
Date Received
20170729
Published
University of Virginia, Department of Electrical Engineering, PHD (Doctor of Philosophy), 2017
Published Date
2017-07-31
Degree
PHD (Doctor of Philosophy)
Collection
Libra ETD Repository
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