M. B. Akbar, Cheng Qi, Mohammad Alhassoun, G. Durgin
{"title":"Orientation sensing using backscattered phase from multi-antenna tag at 5.8 GHz","authors":"M. B. Akbar, Cheng Qi, Mohammad Alhassoun, G. Durgin","doi":"10.1109/RFID.2016.7488028","DOIUrl":null,"url":null,"abstract":"Object localization is one of the most important applications of RFID technology. In this paper, we demonstrate how fine-scale orientation can be estimated from a multi-antenna backscatter tag. Three basic orientation changes - tag roll, pitch and yaw - were considered, where roll and pitch maneuvers were successfully identified from the direction of phase rotation. Moreover, an inclination of 5° in roll and pitch maneuvers was successfully identified by measuring the phase difference with 15% and 8% error respectively. The analysis can be extended to any amount of inclination.","PeriodicalId":105916,"journal":{"name":"2016 IEEE International Conference on RFID (RFID)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on RFID (RFID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFID.2016.7488028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Object localization is one of the most important applications of RFID technology. In this paper, we demonstrate how fine-scale orientation can be estimated from a multi-antenna backscatter tag. Three basic orientation changes - tag roll, pitch and yaw - were considered, where roll and pitch maneuvers were successfully identified from the direction of phase rotation. Moreover, an inclination of 5° in roll and pitch maneuvers was successfully identified by measuring the phase difference with 15% and 8% error respectively. The analysis can be extended to any amount of inclination.