Cyclic-Auto-Correlation Based Timing Estimation Algorithm for Time-Frequency Overlapping Multi-Carrier Signals

Xing Zhang, Jianhao Hu
{"title":"Cyclic-Auto-Correlation Based Timing Estimation Algorithm for Time-Frequency Overlapping Multi-Carrier Signals","authors":"Xing Zhang, Jianhao Hu","doi":"10.11989/JEST.1674-862X.6072918","DOIUrl":null,"url":null,"abstract":"In recent years, the time-frequency overlapping multi-carrier signal has been a novel and valuable topic in blind signal processing, especially in the non-cooperative receiving field. But there is little related research in public published papers. This paper proposes two timing estimation algorithms, which are non-data-aided and based on the cyclic auto-correlation function. In order to evaluate the performance of the proposed algorithms, the theoretical bound of the timing estimation is derived. According to the analyses and simulation results, the effectiveness of the proposed algorithms has been demonstrated. It shows that Method I has better performance than Method II. However, Method II does not need prior information, so it has a wider range of applications.","PeriodicalId":53467,"journal":{"name":"Journal of Electronic Science and Technology","volume":"18 1","pages":"223-233"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electronic Science and Technology","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.11989/JEST.1674-862X.6072918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

In recent years, the time-frequency overlapping multi-carrier signal has been a novel and valuable topic in blind signal processing, especially in the non-cooperative receiving field. But there is little related research in public published papers. This paper proposes two timing estimation algorithms, which are non-data-aided and based on the cyclic auto-correlation function. In order to evaluate the performance of the proposed algorithms, the theoretical bound of the timing estimation is derived. According to the analyses and simulation results, the effectiveness of the proposed algorithms has been demonstrated. It shows that Method I has better performance than Method II. However, Method II does not need prior information, so it has a wider range of applications.
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
基于周期自相关的时频重叠多载波信号时序估计算法
近年来,时频重叠多载波信号在盲信号处理中,特别是在非协作接收领域,成为一个新颖而有价值的课题。但在公开发表的论文中,相关研究很少。本文提出了两种基于循环自相关函数的非数据辅助定时估计算法。为了评估所提出算法的性能,推导了定时估计的理论界。根据分析和仿真结果,验证了所提算法的有效性。结果表明,方法一比方法二具有更好的性能。然而,方法II不需要先验信息,因此其应用范围更广。
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
Journal of Electronic Science and Technology
Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
0.00%
发文量
1362
审稿时长
99 days
期刊介绍: JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.
期刊最新文献
Source localization based on field signatures: Laboratory ultrasonic validation Machine learning model based on non-convex penalized huberized-SVM Iterative physical optics method based on efficient occlusion judgment with bounding volume hierarchy technology A multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards
×
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