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 |
Files in This Item:
File | Description | Size | Format | |
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09249579.pdf | 2.28 MB | Adobe PDF | ![]() |
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