Konstantinos Skyvalakis, Evangelos Giannelos, Emmanouil Andrianakis, A. Bletsas
{"title":"椭圆DoA估计与定位","authors":"Konstantinos Skyvalakis, Evangelos Giannelos, Emmanouil Andrianakis, A. Bletsas","doi":"10.1109/RFID-TA53372.2021.9617297","DOIUrl":null,"url":null,"abstract":"This work puts forth elliptical direction of arrival (DoA) estimation and localization, using phase-based, narrowband measurements. The method exploits a multistatic architecture, where illuminating and receiving antennas are placed in the same line, perhaps in sharp contrast to conventional wisdom. Ambiguities inherent in phase measurements are analytically addressed. Experimental results with Gen2 UHF RFID tags show similar performance in terms of DoA estimation compared to the MUSIC algorithm. In terms of localization accuracy, the proposed method outperformed state-of-the-art algorithms in all cases, offering mean absolute localization error as small as 9 cm, at the expense of additional effort for calibration.","PeriodicalId":212607,"journal":{"name":"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Elliptical DoA Estimation & Localization\",\"authors\":\"Konstantinos Skyvalakis, Evangelos Giannelos, Emmanouil Andrianakis, A. Bletsas\",\"doi\":\"10.1109/RFID-TA53372.2021.9617297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work puts forth elliptical direction of arrival (DoA) estimation and localization, using phase-based, narrowband measurements. The method exploits a multistatic architecture, where illuminating and receiving antennas are placed in the same line, perhaps in sharp contrast to conventional wisdom. Ambiguities inherent in phase measurements are analytically addressed. Experimental results with Gen2 UHF RFID tags show similar performance in terms of DoA estimation compared to the MUSIC algorithm. In terms of localization accuracy, the proposed method outperformed state-of-the-art algorithms in all cases, offering mean absolute localization error as small as 9 cm, at the expense of additional effort for calibration.\",\"PeriodicalId\":212607,\"journal\":{\"name\":\"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RFID-TA53372.2021.9617297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFID-TA53372.2021.9617297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work puts forth elliptical direction of arrival (DoA) estimation and localization, using phase-based, narrowband measurements. The method exploits a multistatic architecture, where illuminating and receiving antennas are placed in the same line, perhaps in sharp contrast to conventional wisdom. Ambiguities inherent in phase measurements are analytically addressed. Experimental results with Gen2 UHF RFID tags show similar performance in terms of DoA estimation compared to the MUSIC algorithm. In terms of localization accuracy, the proposed method outperformed state-of-the-art algorithms in all cases, offering mean absolute localization error as small as 9 cm, at the expense of additional effort for calibration.