A smartphone-based indoor localisation system using FM and Wi-Fi signals

A. Mukhopadhyay, P. Rajput, Seshan Srirangarajan
{"title":"A smartphone-based indoor localisation system using FM and Wi-Fi signals","authors":"A. Mukhopadhyay, P. Rajput, Seshan Srirangarajan","doi":"10.23919/EUSIPCO.2017.8081655","DOIUrl":null,"url":null,"abstract":"Indoor localisation has the potential to revolutionise the way people navigate indoors, similar to the tremendous impact that GPS has had on outdoor navigation. A number of solutions have been proposed for indoor localisation but most rely on specialised hardware or on the presence of a strong (access point) infrastructure. Many places do not have such infrastructure, thus limiting the use of these indoor localisation technologies. We propose a smartphone-based solution using FM and Wi-Fi signals that uses commercial off-the-shelf hardware which can be connected as and when required and thus addresses some of the potential privacy concerns. We show through our experiments that the proposed system can be used even in areas with low FM and Wi-Fi signal coverage. Our system achieves a mean localisation error of 2.84 m with a 90th percentile error of 4.03 m. In addition, we show the robustness of our system in a realistic and challenging environment by using a 4 month old training database.","PeriodicalId":346811,"journal":{"name":"2017 25th European Signal Processing Conference (EUSIPCO)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EUSIPCO.2017.8081655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Indoor localisation has the potential to revolutionise the way people navigate indoors, similar to the tremendous impact that GPS has had on outdoor navigation. A number of solutions have been proposed for indoor localisation but most rely on specialised hardware or on the presence of a strong (access point) infrastructure. Many places do not have such infrastructure, thus limiting the use of these indoor localisation technologies. We propose a smartphone-based solution using FM and Wi-Fi signals that uses commercial off-the-shelf hardware which can be connected as and when required and thus addresses some of the potential privacy concerns. We show through our experiments that the proposed system can be used even in areas with low FM and Wi-Fi signal coverage. Our system achieves a mean localisation error of 2.84 m with a 90th percentile error of 4.03 m. In addition, we show the robustness of our system in a realistic and challenging environment by using a 4 month old training database.
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
基于智能手机的室内定位系统,使用调频和Wi-Fi信号
室内定位有可能彻底改变人们在室内导航的方式,就像GPS对室外导航的巨大影响一样。已经为室内定位提出了许多解决方案,但大多数都依赖于专门的硬件或强大(接入点)基础设施的存在。许多地方没有这样的基础设施,因此限制了这些室内定位技术的使用。我们提出了一种基于智能手机的解决方案,使用FM和Wi-Fi信号,使用商业现成的硬件,可以在需要时连接,从而解决了一些潜在的隐私问题。实验表明,该系统可以在低调频和低Wi-Fi信号覆盖的地区使用。该系统的平均定位误差为2.84 m,第90百分位误差为4.03 m。此外,我们通过使用4个月前的训练数据库,在现实和具有挑战性的环境中展示了系统的鲁棒性。
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
自引率
0.00%
发文量
0
期刊最新文献
Image deblurring using a perturbation-basec regularization approach Distributed computational load balancing for real-time applications Nonconvulsive epileptic seizures detection using multiway data analysis Performance improvement for wideband beamforming with white noise reduction based on sparse arrays Wideband DoA estimation based on joint optimisation of array and spatial sparsity
×
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:604180095
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