SIC-MIMO Systems with Neural Networks in OFDM-Based WDM VLCs

Naoki Umezawa, S. Oshiba
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Abstract

In this paper, we describe a wavelength-division multiplexing visible light communication system using two colored light-emitting diodes (LEDs) with similar emission wavelengths. A method using a neural network to cancel the intercolor interference caused by the spectral overlap of LEDs is proposed. The experimental results demonstrate that signal separation is possible with a bit error rate comparable to that of the pilot-based method.
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基于ofdm的WDM VLCs中的神经网络SIC-MIMO系统
在本文中,我们描述了一个波分复用可见光通信系统使用两个彩色发光二极管(led)具有相似的发射波长。提出了一种利用神经网络消除led光谱重叠引起的间色干扰的方法。实验结果表明,在误码率与基于导频的方法相当的情况下,可以实现信号分离。
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