SISO RIS-Enabled Joint Indoor Near-Field Localization and Synchronization

Han Yan, Hua Chen, Wei Liu, Gang Wang, Zelong Yi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The problem of reconfigurable intelligent surface (RIS)-aided 3D localization and synchronization in multipath environments is studied for a single-input single-output (SISO) setup. To obtain coarse estimates of channel parameters, the well-known methods including canonical polyadic decomposition (CPD) and orthogonal matching pursuit (OMP) are combined to estimate the time of arrival (ToA) and angle of departure (AoD) parameters at the RIS. Subsequently, the distances are estimated using the l1-norm regularization method. In addition, the channel parameters are refined through a maximum likelihood estimation (MLE) formulation and the position and clock offset are recovered using a least-squares approach. Numerical results are provided to show the high accuracy of the proposed 3D localization method.

Original languageEnglish
Title of host publication2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-223
Number of pages5
ISBN (Electronic)9798350378412
DOIs
Publication statusPublished - Aug 2024
Event2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 - Hangzhou, China
Duration: 7 Aug 20249 Aug 2024

Publication series

Name2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

Conference

Conference2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
Country/TerritoryChina
CityHangzhou
Period7/08/249/08/24

Keywords

  • localization
  • near-field
  • Reconfigurable Intelligent Surface
  • synchronization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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