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

Younus, O. ; Hassan, N. ; Ghassemlooy, Z. ; Zvanovec, S. ; Alves, L. ; Haigh, P. ; Le-Minh, H.

An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications, Proc 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing CSNDSP, Conference Online, Vol. , pp. - , July, 2020.

Digital Object Identifier: 10.1109/CSNDSP49049.2020.9249579

 

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.