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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Indoor amplify-and-forward power-line and visible light communication channel model based on a semi-hidden Markov model
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Indoor amplify-and-forward power-line and visible light communication channel model based on a semi-hidden Markov model

机译:基于半隐马尔可夫模型的室内放大和前进电源线和可见光通信信道模型

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摘要

In this paper, the channel model of a multicarrier, indoor amplify-and-forward (AF) hybrid power-line communication (PLC) and visible light communication (VLC) channel is demonstrated. Measurements are obtained from different positions between the VLC transmitter and receiver in an indoor testbed with the aid of software-defined radios. Using the obtained measurements, channel models are derived using a semi-hidden Markov model (SHMM) with the aid of a Fritchman channel state representation model. The Baum-Welch algorithm is then used to re-estimate and validate the derived models. Results presented show the error-free run distribution in the hybrid channel and the probability of error from the obtained measurements. The re-estimated probability of error ((P) over bar (e)) of each measured indoor scenario is also seen to match the corresponding measured P-e, showing the validity of the derived SHMM models. (C) 2020 Elsevier GmbH. All rights reserved.
机译:在本文中,演示了多载波,室内放大和前进(AF)混合动力线通信(PLC)和可见光通信(VLC)信道的信道模型。 在借助于软件定义的无线电的借助于软件定义的无线电,从VLC发射器和接收器之间的不同位置获得测量。 使用所获得的测量值,借助于猎犬信道状态表示模型,使用半隐马尔可夫模型(SHMM)导出信道模型。 然后使用BAUM-Welch算法来重新估计和验证派生模型。 提出的结果显示了混合频道中的无错误运行分布以及从所获得的测量结果的误差概率。 还可以看到每个测量的室内场景的重新估计的误差概率((p)栏(e))与相应的测量的p-e相匹配,显示衍生的SHMM模型的有效性。 (c)2020 Elsevier GmbH。 版权所有。

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