通过室外无线定向天线进行零知识实时室内跟踪

Thadpong Pongthawornkamol, Shameem Ahmed, K. Nahrstedt, A. Uchiyama
{"title":"通过室外无线定向天线进行零知识实时室内跟踪","authors":"Thadpong Pongthawornkamol, Shameem Ahmed, K. Nahrstedt, A. Uchiyama","doi":"10.1109/PERCOM.2010.5466968","DOIUrl":null,"url":null,"abstract":"WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous approaches in WiFi-based indoor localization and tracking either assume prior knowledge of indoor environment or assume many data samples from location-fixed WiFi sources (i.e. anchor points). However, such assumptions are not always true, especially in emergency scenarios. This paper explores the possibility of real-time indoor localization and tracking without any knowledge of indoor environment and with real-time data samples from only few anchor points outside the building. By using a small set of synchronized directional antennas as outdoor anchor points to actively scan in various directions, a moving device inside the building can be localized and tracked from the received signal in real-time manner. The paper proposes an angle-of-arrival estimator for accurate localization and adaptive per-antenna angular scheduling for real-time indoor tracking. The validation results from real experiment and simulation yield effectiveness and accuracy of the proposed schemes.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Zero-knowledge real-time indoor tracking via outdoor wireless directional antennas\",\"authors\":\"Thadpong Pongthawornkamol, Shameem Ahmed, K. Nahrstedt, A. Uchiyama\",\"doi\":\"10.1109/PERCOM.2010.5466968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous approaches in WiFi-based indoor localization and tracking either assume prior knowledge of indoor environment or assume many data samples from location-fixed WiFi sources (i.e. anchor points). However, such assumptions are not always true, especially in emergency scenarios. This paper explores the possibility of real-time indoor localization and tracking without any knowledge of indoor environment and with real-time data samples from only few anchor points outside the building. By using a small set of synchronized directional antennas as outdoor anchor points to actively scan in various directions, a moving device inside the building can be localized and tracked from the received signal in real-time manner. The paper proposes an angle-of-arrival estimator for accurate localization and adaptive per-antenna angular scheduling for real-time indoor tracking. The validation results from real experiment and simulation yield effectiveness and accuracy of the proposed schemes.\",\"PeriodicalId\":207774,\"journal\":{\"name\":\"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOM.2010.5466968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOM.2010.5466968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

WiFi定位和室内运动物体的跟踪在无处不在的建筑物、急救人员环境等许多环境中都是一个重要的问题。以前基于WiFi的室内定位和跟踪方法要么假设室内环境的先验知识,要么假设来自固定位置的WiFi源(即锚点)的大量数据样本。然而,这种假设并不总是正确的,特别是在紧急情况下。本文探讨了在不了解室内环境的情况下,利用建筑物外几个锚点的实时数据样本进行室内实时定位和跟踪的可能性。通过使用一小组同步定向天线作为室外锚点,向各个方向主动扫描,可以根据接收到的信号实时定位和跟踪建筑物内的移动设备。本文提出了一种用于精确定位的到达角估计器和用于实时室内跟踪的自适应单天线角度调度。实际实验和仿真结果验证了所提方案的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zero-knowledge real-time indoor tracking via outdoor wireless directional antennas
WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous approaches in WiFi-based indoor localization and tracking either assume prior knowledge of indoor environment or assume many data samples from location-fixed WiFi sources (i.e. anchor points). However, such assumptions are not always true, especially in emergency scenarios. This paper explores the possibility of real-time indoor localization and tracking without any knowledge of indoor environment and with real-time data samples from only few anchor points outside the building. By using a small set of synchronized directional antennas as outdoor anchor points to actively scan in various directions, a moving device inside the building can be localized and tracked from the received signal in real-time manner. The paper proposes an angle-of-arrival estimator for accurate localization and adaptive per-antenna angular scheduling for real-time indoor tracking. The validation results from real experiment and simulation yield effectiveness and accuracy of the proposed schemes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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