{"title":"HiPR+: A Protocol for Centimeter 3D Localization based on UWB","authors":"Daniel Neuhold, Aymen Fakhreddine, C. Bettstetter","doi":"10.1145/3551659.3559043","DOIUrl":null,"url":null,"abstract":"HiPR+ is an approach for centimeter-accurate indoor localization. It combines distance estimation between ultra-wideband (UWB) transceivers and location estimation using an extended Kalman filter (EKF). The performance is tested with experiments on hardware platforms from Decawave. The distance estimation of HiPR+ achieves an order of magnitude better precision and a multiple improvement in accuracy compared to the company's native solution while it only takes only a fraction the time needed for range computation. We evaluate the 3D localization capabilities with two least-squares approaches and an EKF. A median accuracy below one centimeter can be attained using the proposed ranging error compensations in combination with the EKF-based~positioning.","PeriodicalId":423926,"journal":{"name":"Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3551659.3559043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
HiPR+ is an approach for centimeter-accurate indoor localization. It combines distance estimation between ultra-wideband (UWB) transceivers and location estimation using an extended Kalman filter (EKF). The performance is tested with experiments on hardware platforms from Decawave. The distance estimation of HiPR+ achieves an order of magnitude better precision and a multiple improvement in accuracy compared to the company's native solution while it only takes only a fraction the time needed for range computation. We evaluate the 3D localization capabilities with two least-squares approaches and an EKF. A median accuracy below one centimeter can be attained using the proposed ranging error compensations in combination with the EKF-based~positioning.