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Low-Complexity Detection Scheme for P-Orthogonal Transmission Method

  • Diana W. Dawoud
  • , Fabien Heliot
  • , Muhammad Ali Imran
  • , Rahim Tafazolli
  • University of Dubai
  • Institute of Communication Systems

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

Abstract

The signaling scheme that is possible to be readily utilized in visible light communication (VLC) systems is unipolar incoherent signaling; i.e., intensity modulation/direct detection, whereas the conventional radio frequency transceivers (e.g., carrierless amplitude and phase modulation) require modifications that reduce their classical efficiency. Therefore, research efforts has been focused on adapting radio frequency methods to VLC. To this end, P-orthogonal transmission (OT) scheme, which could reduce the direct current element of the two-dimensional signal by relying on multi-waveform method at the transmitter side, was proposed. However, this method increases the computational complexity of the classical joint detector. Thus, the focus of this paper is to minimize the decoding complexity of the classical joint detector utilized in P-OT by proposing a new successive maximum likelihood detector in conjunction with P-OT that is less computationally demanding than the optimal joint detector by 62.5%.

Original languageEnglish
Title of host publication2021 4th International Conference on Signal Processing and Information Security, ICSPIS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-79
Number of pages4
ISBN (Electronic)9781665437967
DOIs
StatePublished - 2021
Externally publishedYes
Event4th International Conference on Signal Processing and Information Security, ICSPIS 2021 - Virtual, Online, United Arab Emirates
Duration: 24 Nov 202125 Nov 2021

Publication series

Name2021 4th International Conference on Signal Processing and Information Security, ICSPIS 2021

Conference

Conference4th International Conference on Signal Processing and Information Security, ICSPIS 2021
Country/TerritoryUnited Arab Emirates
CityVirtual, Online
Period24/11/2125/11/21

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