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Modelling noise and pulse width modulation interference in indoor visible light communication channels

机译:室内可见光通信通道中的建模噪声和脉冲宽度调制干扰

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Visible light communication (VLC) has the potential to supplement the growing demand for wireless connectivity. In order to achieve the full potential of VLC, channel models are required. Discrete channel models based on semi-hidden Markov models (Fritchman model) for indoor VLC using low data rate LEDs are presented. Each channel considered includes background noise and differing types of interference from fluorescent lights and pulse-width modulated (PWM) LEDs, which could be part of an indoor smart lighting system. Models were developed based on experimental error sequences from a VLC system using an on-off keying (OOK) modulation scheme. The error sequences were input into the Baum-Welch algorithm to determine the model parameters by expectation maximisation. Simulated error sequences generated by the models are compared to and, in most cases, perform better than simpler models with a single bit error rate. The models closely approximate the experimental errors sequences in terms of error distribution. The models performed better in channels where there is less interference. It was also found that periodic errors were introduced as a results of the PWM modulated smart lighting LEDs. These models have use for designing error control codes and simulating indoor VLC environments with different types of interference. (C) 2019 Elsevier GmbH. All rights reserved.
机译:可见光通信(VLC)有可能补充对无线连接的不断增长的需求。为了实现VLC的全部潜力,需要渠道模型。呈现了使用低数据速率LED的室内VLC的基于半隐式马尔可夫模型(Fritchman Model)的离散信道模型。所考虑的每个通道包括背景噪声和来自荧光灯和脉冲宽度调制(PWM)LED的不同类型的干扰,这可能是室内智能照明系统的一部分。使用开关键控(OOK)调制方案,基于VLC系统的实验误差序列开发了模型。错误序列被输入到BAUM-Welch算法中,以通过期望最大化来确定模型参数。将模型生成的模拟错误序列与大多数情况下,比具有单个误码率的简单模型更好。模型在误差分布方面非常近似于实验误差序列。模型在干扰较少的频道中更好地执行。还发现,作为PWM调制智能照明LED的结果引入了定期误差。这些模型用于设计错误控制代码和使用不同类型的干扰模拟室内VLC环境。 (c)2019年Elsevier GmbH。版权所有。

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