基于ofdm的WDM VLCs中的神经网络SIC-MIMO系统

2022 Asia-Pacific Microwave Conference (APMC) Pub Date : 2022-11-29 DOI:10.23919/apmc55665.2022.9999949

Naoki Umezawa, S. Oshiba

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引用次数: 0

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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2022 Asia-Pacific Microwave Conference (APMC)

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