Ramya Vasist, V. Sark, M. Goodarzi, J. Gutiérrez, E. Grass
{"title":"Localization System Architecture for Enhanced Positioning in Industry 4.0 Applications","authors":"Ramya Vasist, V. Sark, M. Goodarzi, J. Gutiérrez, E. Grass","doi":"10.1109/ICNC57223.2023.10074001","DOIUrl":null,"url":null,"abstract":"Indoor localization gained popularity with increased demand for location-based services. There has been a wide range of indoor positioning algorithms across different wireless technologies, albeit with limited accuracy. This work proposes a localization system that enables positioning in a multi-technology environment, including emerging technologies like visible light communication and high-bandwidth technologies like millimeter wave (mmWave). This system provides a common framework for enhanced user positioning, regardless of the underlying technology. The localization system combines the data of different wireless technologies to estimate accurate position information. The localization system architecture is tested in a simulation environment to assess the performance of the individual technologies and a combination of positioning data from multiple technologies. The merging of the position estimates from different wireless access technologies showed a mean positioning error of 10 cm.","PeriodicalId":174051,"journal":{"name":"2023 International Conference on Computing, Networking and Communications (ICNC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC57223.2023.10074001","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 localization gained popularity with increased demand for location-based services. There has been a wide range of indoor positioning algorithms across different wireless technologies, albeit with limited accuracy. This work proposes a localization system that enables positioning in a multi-technology environment, including emerging technologies like visible light communication and high-bandwidth technologies like millimeter wave (mmWave). This system provides a common framework for enhanced user positioning, regardless of the underlying technology. The localization system combines the data of different wireless technologies to estimate accurate position information. The localization system architecture is tested in a simulation environment to assess the performance of the individual technologies and a combination of positioning data from multiple technologies. The merging of the position estimates from different wireless access technologies showed a mean positioning error of 10 cm.