{"title":"A calibration-free RF localization system","authors":"R. Elbakly, M. Youssef","doi":"10.1145/2820783.2820853","DOIUrl":null,"url":null,"abstract":"We present the design, implementation, and evaluation of NaviRize: a novel system that can provide calibration-free, accurate RF-based indoor localization that works in realistic environments on heterogeneous devices. NaviRize is based on the space partitioning of the installed RF Transmitters (RFTXs) and exploits constraints based on the mutual Received Signal Strength(RSS) relation between each pair of RFTXs to further enhance the estimated user location. Evaluation of NaviRize shows that it can achieve a consistent median accuracy of 2.8m under different scenarios.","PeriodicalId":241302,"journal":{"name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2820783.2820853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
We present the design, implementation, and evaluation of NaviRize: a novel system that can provide calibration-free, accurate RF-based indoor localization that works in realistic environments on heterogeneous devices. NaviRize is based on the space partitioning of the installed RF Transmitters (RFTXs) and exploits constraints based on the mutual Received Signal Strength(RSS) relation between each pair of RFTXs to further enhance the estimated user location. Evaluation of NaviRize shows that it can achieve a consistent median accuracy of 2.8m under different scenarios.