{"title":"Accelerating TOA/TDOA packet based localization methods","authors":"Amin Gholoobi, S. Stavrou","doi":"10.1109/ICWISE.2014.7042657","DOIUrl":null,"url":null,"abstract":"Time-based localization methods can be especially useful in dynamic environments, where the usefulness of Received Signal Strength (RSS) fingerprint based methods can be limited. Typical `off the shelf' 802.11 network packet time-based methods, tend to collect a large number of packets and apply statistical analysis in order to localize a user. This packet collection process typically lies in the range of minutes, thus turning this type of localization into a non-real time process. This paper presents a method to accelerate network packet time based methods. By accelerating packet capturing in conjunction with packet validation, it has been shown that the localization process time can be shortened without reducing positioning accuracy.","PeriodicalId":202159,"journal":{"name":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWISE.2014.7042657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

基于时间的定位方法在动态环境中特别有用,在这种环境中,基于接收信号强度(RSS)指纹的方法的有用性可能受到限制。典型的“现成的”802.11网络数据包基于时间的方法,倾向于收集大量数据包并应用统计分析以定位用户。这个包收集过程通常在几分钟的范围内,因此将这种类型的本地化变成了一个非实时的过程。本文提出了一种基于网络数据包时间的加速方法。通过加速包捕获与包验证相结合,可以在不降低定位精度的情况下缩短定位过程时间。
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Accelerating TOA/TDOA packet based localization methods
Time-based localization methods can be especially useful in dynamic environments, where the usefulness of Received Signal Strength (RSS) fingerprint based methods can be limited. Typical `off the shelf' 802.11 network packet time-based methods, tend to collect a large number of packets and apply statistical analysis in order to localize a user. This packet collection process typically lies in the range of minutes, thus turning this type of localization into a non-real time process. This paper presents a method to accelerate network packet time based methods. By accelerating packet capturing in conjunction with packet validation, it has been shown that the localization process time can be shortened without reducing positioning accuracy.
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