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基于弗里奇曼-马尔可夫模型的内部基于M-QAM的电力线通信信道突发脉冲噪声误差建模

Modeling of Burst Impulse Noise Errors in an In-House M-QAM-Based Power Line Communications Channel Using the Fritchman-Markov Model.

作者信息

Iyiola Akintunde O, Familua Ayokunle D, Swart Theo G, Shongwe Thokozani

机构信息

Department of Electrical and Electronic Engineering Science, University of Johannesburg, Auckland Park, P. O. Box 524, Johannesburg 2006, South Africa.

Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Doornfontein, P. O. Box 17011, Johannesburg 2028, South Africa.

出版信息

Sensors (Basel). 2023 Jul 25;23(15):6659. doi: 10.3390/s23156659.

DOI:10.3390/s23156659
PMID:37571443
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10422269/
Abstract

Within the power line communication (PLC) network, a large number of electronic devices are connected, and environmental factors can cause unusual behavior, leading to high-amplitude impulse noise in the received signal and, as a result, packet losses and burst errors in the data that are sent. Burst errors make it difficult to send data over power line channels efficiently and accurately. Analyzing error patterns with intelligent techniques can provide valuable insights into data transmission efficiency, enhance transmission quality, and optimize PLC systems. This research proposes a three-state Fritchman-Markov chain-based power line communication error model and develops a software-defined PLC system. The goal is to analyze and model the system's statistical error process. The PLC system's fundamental error pattern is deduced from the transmission and reception of data on our software-defined (SD) PLC platform. The system is designed with multi-state quadrature amplitude modulation (M-QAM) data transmission and reception techniques. An error pattern consisting of 50,000 bits is obtained by comparing the bits transmitted with those received using the in-house M-QAM-based PLC transceiver system. The error characteristics of the newly developed M-QAM SD-PLC system are precisely modeled using the error model. Examining the burst error statistics of the reference error sequences of the SD-PLC system and the three-state Fritchman-Markov error model reveals striking similarities. According to the results, the error model accurately represents the error characteristics of the developed M-QAM SD-PLC system. The proposed three-state Fritchman-Markov chain-based error model for PLC has the potential to provide a comprehensive understanding of the error process in PLC. Additionally, it can assess error control strategies with less computational complexity and a shorter simulation time.

摘要

在电力线通信（PLC）网络中，连接了大量电子设备，环境因素可能导致异常行为，从而在接收信号中产生高幅度脉冲噪声，进而导致发送的数据出现丢包和突发错误。突发错误使得难以在电力线信道上高效且准确地发送数据。使用智能技术分析错误模式可以为数据传输效率提供有价值的见解，提高传输质量，并优化PLC系统。本研究提出了一种基于三态弗里奇曼 - 马尔可夫链的电力线通信错误模型，并开发了一个软件定义的PLC系统。目标是分析并对系统的统计错误过程进行建模。PLC系统的基本错误模式是从我们的软件定义（SD）PLC平台上的数据传输和接收推导出来的。该系统采用多状态正交幅度调制（M - QAM）数据传输和接收技术进行设计。通过使用基于内部M - QAM的PLC收发器系统比较发送的比特和接收的比特，获得了一个由50,

000比特组成的错误模式。使用该错误模型精确地对新开发的M - QAM SD - PLC系统的错误特性进行建模。检查SD - PLC系统的参考错误序列和三态弗里奇曼 - 马尔可夫错误模型的突发错误统计数据，发现了惊人的相似之处。根据结果，该错误模型准确地表示了所开发的M - QAM SD - PLC系统的错误特性。所提出的基于三态弗里奇曼 - 马尔可夫链的PLC错误模型有可能全面理解PLC中的错误过程。此外，它可以以较低的计算复杂度和较短的仿真时间评估错误控制策略。

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