Multi-level Optical On-Off Line Code For Outdoors Visible Light Communications

Samuel Nlend, Theo G. Swart

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

Abstract

This paper investigates a multi-level optical line code using the On-Off technique for visible light outdoors communications. The technique consists of assigning to each symbol, through a Miller coding combined with a correlative level technique, an elementary signal within the same signaling bit duration. The resulting asymmetric signals are differentiated by (M-1)-time transition levels to produce M-ary On-Off Keying (OOK) signals. An analytical investigation conducted on the 4-ary (quaternary) OOK (4-OOK) using duo-binary technique and Miller's coding technique over an OOC difference family pattern has resulted in a better data rate and an increase at an acceptable level of the signal-to-noise ratio (SNR), which is then compared to the ordinary binary OOK NRZ signaling.

Original languageEnglish
Title of host publication2019 5th International Conference on Image Information Processing, ICIIP 2019
EditorsP. K. Gupta, Ekta Gandotra, Vipin Tyagi, Satya Prakash Ghrera, Vivek Kumar Sehgal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages431-436
Number of pages6
ISBN (Electronic)9781728108988
DOIs
Publication statusPublished - Nov 2019
Event5th International Conference on Image Information Processing, ICIIP 2019 - Waknaghat, Solan, Himachal Pradesh, India
Duration: 15 Nov 201917 Nov 2019

Publication series

NameProceedings of the IEEE International Conference Image Information Processing
Volume2019-November
ISSN (Print)2640-074X

Conference

Conference5th International Conference on Image Information Processing, ICIIP 2019
Country/TerritoryIndia
CityWaknaghat, Solan, Himachal Pradesh
Period15/11/1917/11/19

Keywords

  • Duo-binary
  • Miller
  • Optical orthogonal code (OOC)
  • on-off keying (OOK)

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Radiology, Nuclear Medicine and Imaging

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