电力线通信信道建模与系统设计

Oula Ibrahim Arbab, M. Mirghani
{"title":"电力线通信信道建模与系统设计","authors":"Oula Ibrahim Arbab, M. Mirghani","doi":"10.1109/ICCCEEE49695.2021.9429567","DOIUrl":null,"url":null,"abstract":"This research paper highlights an appropriate and comprehensive procedure to model a Power Line Communication (PLC) channel. Firstly, the paper has adopted the Zimmerman and Doster channel model. Secondly, the channel model has been built considering both impulsive noise and Additive White Gaussian Noise (AWGN). The function adopted to generate transmitted data is based on Bernoulli distribution model. In order to inspect the channel model, a complete communication system is designed and simulated. Using the designed system, the Bit Error Rate (BER) due to some values of signal-to-noise ratio (SNR) is calculated, for each of the simulated channels. Finally, the results that obtained are presented, compared, and discussed.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Power Line Communication Channel Modelling and System Design\",\"authors\":\"Oula Ibrahim Arbab, M. Mirghani\",\"doi\":\"10.1109/ICCCEEE49695.2021.9429567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper highlights an appropriate and comprehensive procedure to model a Power Line Communication (PLC) channel. Firstly, the paper has adopted the Zimmerman and Doster channel model. Secondly, the channel model has been built considering both impulsive noise and Additive White Gaussian Noise (AWGN). The function adopted to generate transmitted data is based on Bernoulli distribution model. In order to inspect the channel model, a complete communication system is designed and simulated. Using the designed system, the Bit Error Rate (BER) due to some values of signal-to-noise ratio (SNR) is calculated, for each of the simulated channels. Finally, the results that obtained are presented, compared, and discussed.\",\"PeriodicalId\":359802,\"journal\":{\"name\":\"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCEEE49695.2021.9429567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE49695.2021.9429567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文重点介绍了电力线通信(PLC)信道建模的适当和全面的程序。首先,本文采用了Zimmerman和Doster信道模型。其次,建立了考虑脉冲噪声和加性高斯白噪声(AWGN)的信道模型。生成传输数据的函数基于伯努利分布模型。为了检验信道模型,设计并仿真了一个完整的通信系统。利用所设计的系统,计算了每个仿真信道由于信噪比(SNR)的某些值所引起的误码率(BER)。最后,对所得结果进行了介绍、比较和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Line Communication Channel Modelling and System Design
This research paper highlights an appropriate and comprehensive procedure to model a Power Line Communication (PLC) channel. Firstly, the paper has adopted the Zimmerman and Doster channel model. Secondly, the channel model has been built considering both impulsive noise and Additive White Gaussian Noise (AWGN). The function adopted to generate transmitted data is based on Bernoulli distribution model. In order to inspect the channel model, a complete communication system is designed and simulated. Using the designed system, the Bit Error Rate (BER) due to some values of signal-to-noise ratio (SNR) is calculated, for each of the simulated channels. Finally, the results that obtained are presented, compared, and discussed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信