Advanced TOA Estimation For Multipath Channels

R. Chrabieh, Peter Bagnall, S. Sezginer, D. Slock
{"title":"Advanced TOA Estimation For Multipath Channels","authors":"R. Chrabieh, Peter Bagnall, S. Sezginer, D. Slock","doi":"10.1109/PLANS46316.2020.9109833","DOIUrl":null,"url":null,"abstract":"In this paper, estimation of time of arrival (TOA) in multipath environments is tackled as it is considered a real limiting factor in terrestrial and GNSS positioning systems. Novel methods are presented for designing novel near-causal filters and TOA-Matched Filters (TOA-MF) that facilitate estimation of the TOA. Near and far multipath are effectively reduced including in NLOS environments. Post application of the filter, a reduced complexity Maximum Likelihood (ML) estimation of the TOA is proposed. Simulations and field results confirm the efficiency of the proposed solution. This opens the door for optimized multi-technology approaches, which allows cost-effective and ultra-low-power solutions for accurate positioning.","PeriodicalId":273568,"journal":{"name":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS46316.2020.9109833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, estimation of time of arrival (TOA) in multipath environments is tackled as it is considered a real limiting factor in terrestrial and GNSS positioning systems. Novel methods are presented for designing novel near-causal filters and TOA-Matched Filters (TOA-MF) that facilitate estimation of the TOA. Near and far multipath are effectively reduced including in NLOS environments. Post application of the filter, a reduced complexity Maximum Likelihood (ML) estimation of the TOA is proposed. Simulations and field results confirm the efficiency of the proposed solution. This opens the door for optimized multi-technology approaches, which allows cost-effective and ultra-low-power solutions for accurate positioning.
多径信道的高级TOA估计
本文讨论了多路径环境下到达时间(TOA)的估计,因为它被认为是地面和GNSS定位系统中的一个真正的限制因素。提出了新的方法来设计新的近因果滤波器和TOA匹配滤波器(TOA- mf),以方便TOA的估计。包括在NLOS环境中,近径和远径都能有效地减少。应用该滤波器后,提出了一种复杂度较低的TOA最大似然估计方法。仿真和现场结果验证了该方法的有效性。这为优化的多技术方法打开了大门,从而实现经济高效和超低功耗的精确定位解决方案。
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:604180095
Book学术官方微信