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.