An artificial neural network equalizer for constant power 4-PAM in optical camera communications

Othman Isam Younus*, Navid Bani Hassan, Zabih Ghassemlooy, Stanislav Zvanovec, Luis Nero Alves, Paul Anthony Haigh, Hoa Le Minh

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

In this paper, for the first time, we propose and validate a nonlinear artificial neural network (ANN) equalizer for constant power pulse amplitude modulation (CP 4-PAM) in an optical camera communication (OCC) system. Using the proposed equalizer, we demonstrate experimental-based non-flickering transmission at a data rate of up to 7 kbps using a single light-emitting diode and an image sensor with 30 frames per second rate. The quality of the received signal is introduced based on the eye-diagram opening where we have proved an ability to transmit data with up to 232 bits per frame after the equalizer deployment.

Original languageEnglish
Title of host publication2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Electronic)9781728167435
DOIs
Publication statusPublished - 10 Nov 2020
Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
Duration: 20 Jul 202022 Jul 2020

Conference

Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Country/TerritoryPortugal
CityPorto
Period20/07/2022/07/20

Keywords

  • ANN equalizer
  • CP 4-PAM
  • optical camera communications

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