An artificial neural network equalizer for constant power 4-PAM in optical camera communications

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 tr...

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Detalhes bibliográficos
Autor principal: Younus, Othman Isam (author)
Outros Autores: Hassan, Navid Bani (author), Ghassemlooy, Zabih (author), Zvanovec, Stanislav (author), Alves, Luis Nero (author), Haigh, Paul Anthony (author), Le Minh, Hoa (author)
Formato: bookPart
Idioma:eng
Publicado em: 2021
Assuntos:
CP 4-PAM
Optical camera communications
ANN equalizer
Texto completo:http://hdl.handle.net/10773/30849
País:Portugal
Oai:oai:ria.ua.pt:10773/30849
Descrição
Resumo: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.

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