Title :
Online artificial neural network equalization for a visible light communications system with an organic light emitting diode based transmitter
Author :
Haigh, Paul Anthony ; Ghassemlooy, Zabih ; Papakonstantinou, Ioannis ; Rajbhandari, Sujan
Author_Institution :
Opt. Commun. Res. Group, Northumbria Univ., Newcastle upon Tyne, UK
Abstract :
This paper presents the use of a digital signal processor (DSP) to implement an artificial neural network (ANN) equalizer in an organic light emitting diode (OLED) based visible light communications (VLC) system for the first time. The ANN is used to counteract the inter-symbol interference (ISI) experienced when the transmission rate exceeds the system modulation bandwidth. The link is made up of an OLED as transmitter with a silicon photodetector as receiver. The bandwidth off the OLED is 93 kHz, enforcing a low pass transfer function on the system. The bit rate achieved is 500 kb/s, which agrees well with similar systems that have been processed with MATLAB.
Keywords :
digital signal processing chips; equalisers; intersymbol interference; mathematics computing; neural nets; optical receivers; optical transmitters; organic light emitting diodes; photodetectors; silicon; telecommunication computing; DSP; ISI; Matlab; OLED; Si; VLC system; bit rate 500 kbit/s; digital signal processor; frequency 93 kHz; intersymbol interference; online ANN equalizer; online artificial neural network equalization; organic light emitting diode based transmitter; receiver; silicon photodetector; transmission rate; visible light communications system; Artificial neural networks; Bandwidth; Equalizers; Neurons; Optical receivers; Optical transmitters; Organic light emitting diodes; Artificial neural networks; digital signal processors; organic light emitting diodes; visible light communications;
Conference_Titel :
Network and Optical Communications (NOC), 2013 18th European Conference on and Optical Cabling and Infrastructure (OC&i), 2013 8th Conference on
Conference_Location :
Graz
Print_ISBN :
978-1-4673-5821-7
DOI :
10.1109/NOC-OCI.2013.6582882