Online Artificial Neural Network Equalization for a Visible Light Communications System with an Organic Light Emitting Diode based Transmitter

被引：0

作者：

Haigh, Paul Anthony ^{[1
]}

Ghassemlooy, Zabih ^{[1
]}

Papakonstantinou, Ioannis ^{[2
]}

Rajbhandari, Sujan ^{[3
]}

机构：

[1] Northumbria Univ, Fac Engn & Environm, Opt Commun Res Grp, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England

[3] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

来源：

PROCEEDINGS OF THE 2013 18TH EUROPEAN CONFERENCE ON NETWORK AND OPTICAL COMMUNICATIONS AND 2013 8TH CONFERENCE ON OPTICAL CABLING AND INFRASTRUCTURE (NOC-OC&I) | 2013年

关键词：

Artificial neural networks; digital signal processors; organic light emitting diodes; visible light communications;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：153 / 157

页数：5

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