Robust Mode Detection Based on DRM System

Q3 Arts and Humanities Icon Pub Date : 2023-03-01 DOI:10.1109/icnlp58431.2023.00077
Yani Qiao, Bo Li, Wen Cui, Yuji Li
{"title":"Robust Mode Detection Based on DRM System","authors":"Yani Qiao, Bo Li, Wen Cui, Yuji Li","doi":"10.1109/icnlp58431.2023.00077","DOIUrl":null,"url":null,"abstract":"This paper proposes a mode detection algorithm based on digital radio (DRM) system. DRM system is a digital broadcasting standard including long wave, medium wave and short wave, which is applicable to digital broadcasting below 30dB. By selecting different transmission modes, signals can be effectively transmitted in different channels and under different conditions. DRM system standard defines four different transmission modes (also known as robust mode). The main differences between these modes are the number of subcarriers, subcarrier spacing, pilot and other structures of OFDM symbols. Therefore, on the basis of completing the time synchronization corresponding to the four transmission modes, this paper proposes a mode detection algorithm based on synchronization analysis, which can effectively identify the transmission mode used by the transmission signal when obtaining the transmission signal, so as to better complete the follow-up signal processing work such as synchronization and channel estimation.","PeriodicalId":53637,"journal":{"name":"Icon","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Icon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icnlp58431.2023.00077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a mode detection algorithm based on digital radio (DRM) system. DRM system is a digital broadcasting standard including long wave, medium wave and short wave, which is applicable to digital broadcasting below 30dB. By selecting different transmission modes, signals can be effectively transmitted in different channels and under different conditions. DRM system standard defines four different transmission modes (also known as robust mode). The main differences between these modes are the number of subcarriers, subcarrier spacing, pilot and other structures of OFDM symbols. Therefore, on the basis of completing the time synchronization corresponding to the four transmission modes, this paper proposes a mode detection algorithm based on synchronization analysis, which can effectively identify the transmission mode used by the transmission signal when obtaining the transmission signal, so as to better complete the follow-up signal processing work such as synchronization and channel estimation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于DRM系统的鲁棒模式检测
提出了一种基于数字无线电(DRM)系统的模式检测算法。DRM系统是一种包含长波、中波和短波的数字广播标准,适用于30dB以下的数字广播。通过选择不同的传输方式,可以在不同的信道、不同的条件下有效地传输信号。DRM系统标准定义了四种不同的传输模式(也称为鲁棒模式)。这些模式之间的主要区别在于OFDM符号的子载波数、子载波间距、导频和其他结构。因此,本文在完成四种传输模式对应的时间同步的基础上,提出了一种基于同步分析的模式检测算法,该算法在获取传输信号时,能够有效识别传输信号所使用的传输模式,从而更好地完成同步、信道估计等后续信号处理工作。
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 去求助
来源期刊
Icon
Icon Arts and Humanities-History and Philosophy of Science
CiteScore
0.30
自引率
0.00%
发文量
0
期刊最新文献
Long-term Coherent Accumulation Algorithm Based on Radar Altimeter Deep Composite Kernels ELM Based on Spatial Feature Extraction for Hyperspectral Vegetation Image Classification Research based on improved SSD target detection algorithm CON-GAN-BERT: combining Contrastive Learning with Generative Adversarial Nets for Few-Shot Sentiment Classification A Two Stage Learning Algorithm for Hyperspectral Image Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1