Performance of ML-based carrier frequency offset estimation in CO-OFDM systems

Muyiwa B. Balogun, Olutayo O. Oyerinde, Fambirai Takawira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems, carrier frequency offset (CFO) causes interference, which significantly impacts the overall system performance. This paper therefore proposes an effective estimation scheme to mitigate and compensate the undesirable effect of CFO on the CO-OFDM system. The proposed scheme is based on the maximum likelihood (ML) approach, where only two long training symbols are utilized for the CFO estimation. In order to avoid the exhaustive search traditionally associated with ML schemes and to ensure low-complexity, a closed-form expression is derived and presented for the CFO estimation. The performance of the closed-form CFO estimator is compared with existing methods in the presence of polarization mode dispersion (PMD) and chromatic dispersion (CD) along the fiber channel.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
PublisherInstitute of Electrical and Electronics Engineers
Pages175-180
Number of pages6
ISBN (Electronic)9781538627754
DOIs
StatePublished - 3 Nov 2017
Externally publishedYes
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sep 201720 Sep 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017

Conference

ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town
Period18/09/1720/09/17

Keywords

  • CFO
  • CO-OFDM
  • Maximum-likelihood (ML)
  • OFDM

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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