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基于宽带和窄带正交频分复用的电力线通信系统的公式化与性能分析

Formulation and Performance Analysis of Broadband and Narrowband OFDM-Based PLC Systems.

作者信息

García-Gangoso Fausto, Blanco-Velasco Manuel, Cruz-Roldán Fernando

机构信息

Department of Teoría de la Señal y Comunicaciones, Escuela Politécnica Superior de la Universidad de Alcalá, 28805 Alcalá de Henares, Spain.

出版信息

Sensors (Basel). 2021 Jan 4;21(1):290. doi: 10.3390/s21010290.

DOI:10.3390/s21010290
PMID:33406684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795674/
Abstract

The aim of this paper is to formulate the physical layer of the broadband and narrowband power line communication (PLC) systems described in standards IEEE 1901 and IEEE 1901.2, which address new communication technologies over electrical networks for Smart Grid and Internet of Things applications. Specifically, this paper presents a mathematical formulation by means of matrices of a transmitter and receiver system based on windowed OFDM. The proposed formulation is essential for obtaining the input-output relation, as well as an analysis of the interference present in the system. It is very useful for simulating PLC systems using software designed to operate primarily on whole matrices and arrays, such as Matlab. In addition, it eases the analysis and design of different receiver configurations, simply by modifying or adding a matrix. Since the relevant standards only describe the blocks corresponding to the transmitter, and leave the set-up of the receiver open to the manufacturer, we analysed four different possible schemes that include window functions in different configurations. In simulations, the behaviour of each of these schemes is analysed in terms of bit error and achievable data rates using artificial and real noises.

摘要

本文旨在阐述标准IEEE 1901和IEEE 1901.2中所描述的宽带和窄带电力线通信(PLC)系统的物理层,这些标准涉及用于智能电网和物联网应用的电网新型通信技术。具体而言,本文通过基于加窗正交频分复用(OFDM)的发射机和接收机系统矩阵给出了一种数学公式。所提出的公式对于获得输入-输出关系以及分析系统中存在的干扰至关重要。对于使用主要针对整个矩阵和数组进行操作的软件(如Matlab)来模拟PLC系统非常有用。此外,通过简单地修改或添加矩阵,它便于对不同接收机配置进行分析和设计。由于相关标准仅描述了与发射机对应的模块,而接收机的设置留给制造商自行决定,因此我们分析了四种不同的可能方案,这些方案在不同配置中包含窗函数。在仿真中,使用人工噪声和实际噪声,根据误码和可实现的数据速率对这些方案中的每一种的性能进行了分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/42be6ce845fc/sensors-21-00290-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/a95f5064ce9e/sensors-21-00290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/743b0706ece6/sensors-21-00290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/9d22e7d0becf/sensors-21-00290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/d1eaff371f81/sensors-21-00290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/0868bcd9e7d3/sensors-21-00290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/9bdb966776bc/sensors-21-00290-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/42be6ce845fc/sensors-21-00290-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/a95f5064ce9e/sensors-21-00290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/743b0706ece6/sensors-21-00290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/9d22e7d0becf/sensors-21-00290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/d1eaff371f81/sensors-21-00290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/0868bcd9e7d3/sensors-21-00290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/9bdb966776bc/sensors-21-00290-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2ff/7795674/42be6ce845fc/sensors-21-00290-g008a.jpg

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A smart kitchen for ambient assisted living.智能厨房助力安养环境。
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