Direct Location Estimation for MIMO Systems in Multipath Environments

K. Papakonstantinou, D. Slock
{"title":"Direct Location Estimation for MIMO Systems in Multipath Environments","authors":"K. Papakonstantinou, D. Slock","doi":"10.1109/GLOCOM.2008.ECP.646","DOIUrl":null,"url":null,"abstract":"Location estimation in multipath environments (ME) can lead to significantly higher accuracy if the information contained in the Non-Line-of-Sight (NLOS) signal components is exploited thoroughly with the use of multiple antennas at both sides of a communication system and with the aid of appropriate channel modeling. In this contribution, this information is exploited and a Maximum-Likelihood (ML) estimator for the location of the Mobile Terminal is proposed, which is based on the reception of the signal in only one Base Station (BS). The method described herein can be characterized as direct location estimation since, in contrast to the traditional two-step approaches, the solution is formulated in terms of the received signal and not some channel-dependent parameters whose values have been estimated a-priori. The high accuracy of the method is validated using the Cramer-Rao Bound (CRB). Intuitive conclusions are reached through the comparison of different systems and for different propagation environments, which is performed by simulations.","PeriodicalId":297815,"journal":{"name":"IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2008.ECP.646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Location estimation in multipath environments (ME) can lead to significantly higher accuracy if the information contained in the Non-Line-of-Sight (NLOS) signal components is exploited thoroughly with the use of multiple antennas at both sides of a communication system and with the aid of appropriate channel modeling. In this contribution, this information is exploited and a Maximum-Likelihood (ML) estimator for the location of the Mobile Terminal is proposed, which is based on the reception of the signal in only one Base Station (BS). The method described herein can be characterized as direct location estimation since, in contrast to the traditional two-step approaches, the solution is formulated in terms of the received signal and not some channel-dependent parameters whose values have been estimated a-priori. The high accuracy of the method is validated using the Cramer-Rao Bound (CRB). Intuitive conclusions are reached through the comparison of different systems and for different propagation environments, which is performed by simulations.
多路径环境下MIMO系统的直接定位估计
如果在通信系统两侧使用多个天线并借助适当的信道建模,充分利用非视距(NLOS)信号组件中包含的信息,则多径环境(ME)中的位置估计可以导致显着更高的精度。在此贡献中,利用该信息并提出了移动终端位置的最大似然(ML)估计器,该估计器基于仅在一个基站(BS)中接收信号。本文所描述的方法可以被描述为直接位置估计,因为与传统的两步方法不同,该方法的解是根据接收信号而不是根据先验估计的一些信道相关参数来制定的。利用Cramer-Rao边界(CRB)验证了该方法的高精度。通过对不同系统和不同传播环境的比较得出了直观的结论,并通过仿真进行了验证。
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