{"title":"TDOA Based Indoor Localization of Wearable Smart Devices","authors":"Buse Gültekin, Özge Taylan Moral, V. Kılıç","doi":"10.1109/SIU53274.2021.9477968","DOIUrl":null,"url":null,"abstract":"The need for real-time and high-precision localization in indoor or outdoor areas has increased considerably recently. Real-time location systems offer solutions for this need with different technologies. One of the solutions is to determine the location using the time difference of arrival of the signal between anchor and tag. In this study, a new algorithm is proposed for indoor localization of wearable smart devices. The algorithm, which is based on the time difference of arrival of the signal from the tag to the anchor, allows the localization with submeter accuracy. Thus, it will be possible to track the location of patients, personnel or objects in military, health and commercial areas using real-time, accurate and precise location information via wearable smart devices.","PeriodicalId":160693,"journal":{"name":"2021 29th Signal Processing and Communications Applications Conference (SIU)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 29th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU53274.2021.9477968","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
The need for real-time and high-precision localization in indoor or outdoor areas has increased considerably recently. Real-time location systems offer solutions for this need with different technologies. One of the solutions is to determine the location using the time difference of arrival of the signal between anchor and tag. In this study, a new algorithm is proposed for indoor localization of wearable smart devices. The algorithm, which is based on the time difference of arrival of the signal from the tag to the anchor, allows the localization with submeter accuracy. Thus, it will be possible to track the location of patients, personnel or objects in military, health and commercial areas using real-time, accurate and precise location information via wearable smart devices.