An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications

Othman 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 contributionpeer-review

2 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
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728167435
ISBN (Print)9781728160511
DOIs
Publication statusPublished - 20 Jul 2020
Event12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing - Online, Porto, Portugal
Duration: 20 Jul 202022 Jul 2020
https://csndsp2020.av.it.pt/

Conference

Conference12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing
Abbreviated titleCSNDSP
CountryPortugal
CityPorto
Period20/07/2022/07/20
Internet address

Fingerprint Dive into the research topics of 'An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications'. Together they form a unique fingerprint.

Cite this