Noise-induced signal corruption in nonlinear Fourier-based optical transmission system in the presence of discrete eigenvalues

Maryna Pankratova, Anastasiia Vasylchenkova, Jaroslaw E. Prilepsky

Research output: Unpublished contribution to conferenceUnpublished Conference Paperpeer-review

Abstract

We present the numerical analysis of the correlation properties of the amplifier spontaneous emission (ASE) noise transformed into the nonlinear Fourier (NF) domain, addressing the noise-induced corruptions in the communication systems employing the nonlinear Fourier transform (NFT) based signal processing. In our current work we deal with the orthogonal frequency division multiplexing (OFDM) modulation of a continuous NF spectrum and account for the presence of discrete (soliton) eigenvalues. This approach is aimed at extending our previous studies that referred to the modulation of continuous NF spectrum only. The effective noise covariance functions are obtained from numerical simulations for a range of propagation distances, values of discrete eigenvalue, and different effective signal power levels. We report the existence of the correlations between the continuous and discrete parts of the NF spectrum.
Original languageEnglish
Pages264-270
Number of pages7
Publication statusPublished - 26 Jul 2019
EventThe International Conference on Optical Communication Systems - The Vienna House Diplomat Prague, Prague, Czech Republic
Duration: 26 Jul 201928 Jul 2019
http://www.optics.icete.org/Home.aspx

Conference

ConferenceThe International Conference on Optical Communication Systems
Abbreviated titleOPTICS
Country/TerritoryCzech Republic
CityPrague
Period26/07/1928/07/19
Internet address

Bibliographical note

© 2019 The Authors

Keywords

  • Correlation Properties
  • Noise
  • Nonlinear Fourier Transform
  • Optical Communications
  • Soliton

Fingerprint

Dive into the research topics of 'Noise-induced signal corruption in nonlinear Fourier-based optical transmission system in the presence of discrete eigenvalues'. Together they form a unique fingerprint.

Cite this