Thi-Hao Dao, Quoc-Cuong Nguyen, V. Ngo, M. Le, C. Hoang
{"title":"Indoor Localization System Based on Passive RFID Tags","authors":"Thi-Hao Dao, Quoc-Cuong Nguyen, V. Ngo, M. Le, C. Hoang","doi":"10.1109/ISMS.2014.162","DOIUrl":null,"url":null,"abstract":"In this paper, we present a low-cost localization system using UHF RFID passive tags in indoor environments. It can be used to locate objects or people in an unfamiliar building. The signal power distribution, propagation conditions and environmental factors will be studied in more detail. Landmark reference tag grid is applied in our system. The tag RSSI (Received Signal Strength Indication) is the main value for our improved K nearest neighbor algorithm. Path Loss models for an indoor environment are also analyzed. The error map and the accuracy of the reference positions are constructed through the Path Loss model for helping to choose corresponding K reference positions.","PeriodicalId":216271,"journal":{"name":"2014 5th International Conference on Intelligent Systems, Modelling and Simulation","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 5th International Conference on Intelligent Systems, Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMS.2014.162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In this paper, we present a low-cost localization system using UHF RFID passive tags in indoor environments. It can be used to locate objects or people in an unfamiliar building. The signal power distribution, propagation conditions and environmental factors will be studied in more detail. Landmark reference tag grid is applied in our system. The tag RSSI (Received Signal Strength Indication) is the main value for our improved K nearest neighbor algorithm. Path Loss models for an indoor environment are also analyzed. The error map and the accuracy of the reference positions are constructed through the Path Loss model for helping to choose corresponding K reference positions.