Simple method for localisation of multiple tag-free targets using UWB sensor network

R. Zetik, Snezhana Jovanoska, R. Thoma
{"title":"Simple method for localisation of multiple tag-free targets using UWB sensor network","authors":"R. Zetik, Snezhana Jovanoska, R. Thoma","doi":"10.1109/ICUWB.2011.6058843","DOIUrl":null,"url":null,"abstract":"In this article we propose a low complexity algorithm for detection and localization of multiple targets using UWB sensor networks. We assume that the targets being tracked do not have any devices or tags attached. They are localized using scattered electromagnetic waves. Our envisaged sensor network consists of sensor nodes that can autonomously detect and localize the closest target. Those partial location estimates are mapped into images of an inspected area that are smoothed in time. This data fusion method does not require any data association or multi-hypothesis tests that are usually prerequisite in localization of multiple targets. This yields a significantly lower computational complexity compared to other algorithms. We demonstrate the performance of our algorithm by an experimental measurement using 6 sensor nodes.","PeriodicalId":143107,"journal":{"name":"2011 IEEE International Conference on Ultra-Wideband (ICUWB)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Ultra-Wideband (ICUWB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUWB.2011.6058843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

In this article we propose a low complexity algorithm for detection and localization of multiple targets using UWB sensor networks. We assume that the targets being tracked do not have any devices or tags attached. They are localized using scattered electromagnetic waves. Our envisaged sensor network consists of sensor nodes that can autonomously detect and localize the closest target. Those partial location estimates are mapped into images of an inspected area that are smoothed in time. This data fusion method does not require any data association or multi-hypothesis tests that are usually prerequisite in localization of multiple targets. This yields a significantly lower computational complexity compared to other algorithms. We demonstrate the performance of our algorithm by an experimental measurement using 6 sensor nodes.
使用超宽带传感器网络定位多个无标签目标的简单方法
本文提出了一种基于超宽带传感器网络的低复杂度多目标检测与定位算法。我们假设被跟踪的目标没有任何设备或标签。它们是用散射电磁波定位的。我们设想的传感器网络由传感器节点组成,这些节点可以自主检测和定位最近的目标。这些局部位置估计被映射到被检测区域的图像中,并及时进行平滑处理。这种数据融合方法不需要任何数据关联或多假设检验,而这些通常是多目标定位的先决条件。与其他算法相比,这大大降低了计算复杂度。我们通过使用6个传感器节点的实验测量证明了算法的性能。
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