An ISAR-SAR based Localization Method using Passive UHF RFID System with Mobile Robotic Platform

Zheng Liu, Zhe Fu, Tongyun Li, Ian White, Richard Penty, Michael Crisp

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A novel RFID synthetic aperture radar (SAR) based localization method using an antenna trajectory estimated using known reference tags of known location is proposed and demonstrated to find the location of target tags who's location is not known. A robot with an integrated RFID reader and antenna is used to obtain phase measurements of both the reference and target tags in an indoor environment. The trajectory of the moving RFID antenna is estimated using an Inverse SAR (ISAR) sensing algorithm. The trajectory is then combined with the phase measurements of the target tags to compute their location using a conventional SAR algorithm. The performance is compared to target tags located by SAR where the antenna trajectory is measured by LiDAR. Experimental results show similar performance (15cm mean absolute error) using both LiDAR-SAR and ISAR-SAR algorithms. Compared to previous SAR based systems, the ISAR-SAR based RFID system is a cost-effective solution which is more commercially attractive for inventory tracking applications.

Original languageEnglish
Title of host publication2020 IEEE International Conference on RFID, RFID 2020
Place of PublicationU. S. A.
ISBN (Electronic)9781728155760
ISBN (Print)9781728155777
Publication statusPublished - 4 Nov 2020
Event2020 IEEE International Conference on RFID, RFID 2020 - Orlando, USA United States
Duration: 28 Sep 202016 Oct 2020

Publication series

Name2020 IEEE International Conference on RFID, RFID 2020
ISSN (Print)2374-0221
ISSN (Electronic)2573-7635


Conference2020 IEEE International Conference on RFID, RFID 2020
CountryUSA United States


  • ISAR
  • Localization
  • reference tags
  • RFID
  • SAR

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Signal Processing
  • Instrumentation

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