Performance Analysis of MIMO Detection Techniques in DVB-T2 Systems

Ani Rosyidah, I. Astawa, Anang Budiknrso
{"title":"Performance Analysis of MIMO Detection Techniques in DVB-T2 Systems","authors":"Ani Rosyidah, I. Astawa, Anang Budiknrso","doi":"10.1109/IES50839.2020.9231868","DOIUrl":null,"url":null,"abstract":"Digital Video Broadcasting-Terrestrial Second Generation (DVB-T2) is a digital television broadcasting system that is being implemented in the world. This system can send large amounts of data at high point-to-multipoint speed. Multiple Input Multiple Output (MIMO) is a transmission technique that is implemented in many new technologies nowadays. This technique can increase the data rate without increasing the bandwidth. In this study, a DVB-T2 system simulation was made by applying 2x2 MIMO-OFDM technology. For better system performance, it is necessary to use a detector to minimize the noise in the data transmission process. In this study, simulations and analyzation were performed to determine the performance of MIMO detectors on a DVB-T2 system. The analysis was done by comparing the BER curve to the generated SNR value by each detector system. The simulation results show that the Vertical Bell Labs Layered Space-Time/Minimum Mean Square Error (V-BLAST/MMSE) detection technique is the best technique in improving system performance, followed by V-BLAST/ZF, Minimum Mean Square Error (MMSE), and Zero Forcing (ZF) detectors.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Electronics Symposium (IES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IES50839.2020.9231868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Digital Video Broadcasting-Terrestrial Second Generation (DVB-T2) is a digital television broadcasting system that is being implemented in the world. This system can send large amounts of data at high point-to-multipoint speed. Multiple Input Multiple Output (MIMO) is a transmission technique that is implemented in many new technologies nowadays. This technique can increase the data rate without increasing the bandwidth. In this study, a DVB-T2 system simulation was made by applying 2x2 MIMO-OFDM technology. For better system performance, it is necessary to use a detector to minimize the noise in the data transmission process. In this study, simulations and analyzation were performed to determine the performance of MIMO detectors on a DVB-T2 system. The analysis was done by comparing the BER curve to the generated SNR value by each detector system. The simulation results show that the Vertical Bell Labs Layered Space-Time/Minimum Mean Square Error (V-BLAST/MMSE) detection technique is the best technique in improving system performance, followed by V-BLAST/ZF, Minimum Mean Square Error (MMSE), and Zero Forcing (ZF) detectors.
DVB-T2系统中MIMO检测技术的性能分析
数字视频广播-地面第二代(DVB-T2)是世界上正在实施的数字电视广播系统。该系统可以以高点对多点的速度发送大量数据。多输入多输出(MIMO)是当今许多新技术中实现的一种传输技术。这种技术可以在不增加带宽的情况下提高数据速率。本研究采用2x2 MIMO-OFDM技术对DVB-T2系统进行仿真。为了获得更好的系统性能,有必要使用检测器来最小化数据传输过程中的噪声。在本研究中,进行了模拟和分析,以确定MIMO探测器在DVB-T2系统上的性能。通过将误码率曲线与各检测器系统生成的信噪比值进行比较来进行分析。仿真结果表明,垂直Bell Labs分层时空/最小均方误差(V-BLAST/MMSE)检测技术是提高系统性能的最佳技术,其次是V-BLAST/ZF、最小均方误差(MMSE)和零强迫(ZF)检测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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