Online artificial neural network equalization for a visible light communications system with an organic light emitting diode based transmitter

P. Haigh, Zabih Ghassemlooy, I. Papakonstantinou, S. Rajbhandari
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引用次数: 3

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.
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基于有机发光二极管发射机的可见光通信系统在线人工神经网络均衡
本文首次提出利用数字信号处理器(DSP)在有机发光二极管(OLED)可见光通信(VLC)系统中实现人工神经网络均衡器(ANN)。人工神经网络用于抵消传输速率超过系统调制带宽时产生的码间干扰。该链路由OLED作为发射器和硅光电探测器作为接收器组成。OLED的带宽为93千赫,在系统上强制执行低通传递函数。所实现的比特率为500kb /s,与MATLAB处理过的类似系统基本一致。
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