Design of a visible light communication system for deep sea divers based on analogue frequency modulation

zahir Ahmad, Pascal Geiser, Omar Salih, Sujan Rajbhandari

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

2 Citations (Scopus)
522 Downloads (Pure)

Abstract

This paper presents the design, development and test of an underwater visible light communication system for the deep sea divers. To achieve a practical communication range, frequency modulation technique has been utilized to modulate the voice signal which is eventually transmitted using visible light. Blue and green light emitting diodes have been chosen to design a full duplex system for simultaneous communication. The proposed system achieved a bidirectional communication range of approximately 3.5 m using off-the-shelf components and without using any optical concentrator.
Original languageEnglish
Title of host publication10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
PublisherIEEE
ISBN (Electronic)978-1-5090-2526-8
ISBN (Print)978-1-5090-2527-5
DOIs
Publication statusPublished - 22 Sep 2016
Event10th International Symposium on Communication Systems, Networks and Digital Signal Processing - Prague, Czech Republic
Duration: 20 Jul 201623 Jul 2016

Conference

Conference10th International Symposium on Communication Systems, Networks and Digital Signal Processing
Abbreviated titleCSNDSP
CountryCzech Republic
CityPrague
Period20/07/1623/07/16

Bibliographical note

This paper was given at the 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 20-22 July 2016

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Keywords

  • Frequency modulation
  • Light emitting diodes
  • Receivers
  • Transmitters
  • Transceivers
  • Green products

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    Ahmad, Z., Geiser, P., Salih, O., & Rajbhandari, S. (2016). Design of a visible light communication system for deep sea divers based on analogue frequency modulation. In 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) IEEE. https://doi.org/10.1109/CSNDSP.2016.7573948