T. Sansanayuth, Prapun Suksompong, Chalie Chareonlarpnopparut, A. Taparugssanagorn
{"title":"RFID 2D-localization improvement using modified LANDMARC with linear MMSE estimation","authors":"T. Sansanayuth, Prapun Suksompong, Chalie Chareonlarpnopparut, A. Taparugssanagorn","doi":"10.1109/ISCIT.2013.6645837","DOIUrl":null,"url":null,"abstract":"RFID localization uses Radio Frequency Identification (RFID) technology to determine object's position in a specific area. Location identification based on Dynamic Active RFID Calibration (LANDMARC) is a notable technique in which active tags and signal strengths are utilized. In this paper, Linear Minimum Mean Square Error (LMMSE) estimation is employed to improve the accuracy of LANDMARC. The type of tags is also changed to passive one which smaller and cheaper than active tags. The simulation and experimental results show significant improvement over the conventional LANDMARC approach.","PeriodicalId":356009,"journal":{"name":"2013 13th International Symposium on Communications and Information Technologies (ISCIT)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th International Symposium on Communications and Information Technologies (ISCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2013.6645837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
RFID localization uses Radio Frequency Identification (RFID) technology to determine object's position in a specific area. Location identification based on Dynamic Active RFID Calibration (LANDMARC) is a notable technique in which active tags and signal strengths are utilized. In this paper, Linear Minimum Mean Square Error (LMMSE) estimation is employed to improve the accuracy of LANDMARC. The type of tags is also changed to passive one which smaller and cheaper than active tags. The simulation and experimental results show significant improvement over the conventional LANDMARC approach.