Richard Weber, Erik Mademann, O. Michler, S. Zeisberg
{"title":"Localization techniques for traffic applications based on robust WECOLS positioning in wireless sensor networks","authors":"Richard Weber, Erik Mademann, O. Michler, S. Zeisberg","doi":"10.1109/WPNC.2012.6268768","DOIUrl":null,"url":null,"abstract":"We consider localization techniques based on wireless sensor networks (WSN), which are a promising technology to achieve highly accurate positioning solutions. Hence, this paper provides an overview of the concept of localization in modern railway applications, e.g. locating trains in storage sidings. Different geometrical scenarios are analyzed by using real measurement data. Generally, position estimation in WSNs is based on distance measuring by means of time-of-flight (TOF) ranging techniques. To employ radio frequency - (RF) based positioning here, we introduce weighting combinations least squares (WECOLS), an extended LS positioning approach, for computing positions by determining the space of possible estimations generated from the input data. Furthermore we investigate WECOLS according to accuracy compared with LS and least median squares (LMS).","PeriodicalId":399340,"journal":{"name":"2012 9th Workshop on Positioning, Navigation and Communication","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th Workshop on Positioning, Navigation and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPNC.2012.6268768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
We consider localization techniques based on wireless sensor networks (WSN), which are a promising technology to achieve highly accurate positioning solutions. Hence, this paper provides an overview of the concept of localization in modern railway applications, e.g. locating trains in storage sidings. Different geometrical scenarios are analyzed by using real measurement data. Generally, position estimation in WSNs is based on distance measuring by means of time-of-flight (TOF) ranging techniques. To employ radio frequency - (RF) based positioning here, we introduce weighting combinations least squares (WECOLS), an extended LS positioning approach, for computing positions by determining the space of possible estimations generated from the input data. Furthermore we investigate WECOLS according to accuracy compared with LS and least median squares (LMS).