Digital signal processing techniques for multi-core fiber transmission using self-homodyne detection schemes

José Manuel Delgado Mendinueta, Ruben S. Luís, Benjamin J. Puttnam, Jun Sakaguchi, Werner Klaus, Yoshinari Awaji, Naoya Wada, Atsushi Kanno, Tetsuya Kawanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We discuss digital signal processing (DSP) techniques for self-homodyne detection (SHD), multi-core fiber (MCF) transmission links, and related technologies. We focus on exploiting the reduced phase noise of self-homodyne multi-core fiber (SH-MCF) systems to enable DSP resource savings and describe digital receiver architectures that mixes signal and local oscillator in the digital domain.

Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1880-1884
Number of pages5
ISBN (Electronic)9780992862619
Publication statusPublished - 2014 Nov 10
Externally publishedYes
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: 2014 Sep 12014 Sep 5

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Other

Other22nd European Signal Processing Conference, EUSIPCO 2014
CountryPortugal
CityLisbon
Period14/9/114/9/5

Keywords

  • Coherent optical communications
  • multi-core fiber
  • optical communications DSP
  • self-homodyne optical systems

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Mendinueta, J. M. D., Luís, R. S., Puttnam, B. J., Sakaguchi, J., Klaus, W., Awaji, Y., Wada, N., Kanno, A., & Kawanishi, T. (2014). Digital signal processing techniques for multi-core fiber transmission using self-homodyne detection schemes. In 2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014 (pp. 1880-1884). [6952696] (European Signal Processing Conference). European Signal Processing Conference, EUSIPCO.