Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/30849
Title: An artificial neural network equalizer for constant power 4-PAM in optical camera communications
Author: Younus, Othman Isam
Hassan, Navid Bani
Ghassemlooy, Zabih
Zvanovec, Stanislav
Alves, Luis Nero
Haigh, Paul Anthony
Le Minh, Hoa
Keywords: CP 4-PAM
Optical camera communications
ANN equalizer
Issue Date: 2020
Publisher: IEEE
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.
Peer review: yes
URI: http://hdl.handle.net/10773/30849
DOI: 10.1109/CSNDSP49049.2020.9249579
ISBN: 978-1-7281-6051-1
Appears in Collections:DETI - Capítulo de livro
IT - Capítulo de livro

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