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Phase Diagnosis of Reconfigurable Intelligent Surfaces Based on Hadamard Matrix Inversion

  • Huaqiang Gao
  • , Hangning Ran
  • , Zhen Jie Qi
  • , Xiaoming Chen
  • , Qiang Cheng
  • , Yuanan Liu
  • Xi'an Jiaotong University
  • Southeast University, Nanjing
  • Beijing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The fault diagnosis of reconfigurable intelligent surfaces (RISs) is essential to their optimal performance. In this paper, a fault model and its diagnosis method of RISs are presented to identify the fault of phase control deviation. Instead of inverting the phase of a single element each time in the conventional method, this paper employs a Hadamard matrix inversion strategy robust to measurement noise. Under the same measurement noise, the presented strategy achieves a phase diagnosis error of ±7°, while an error of ±83° is obtained by the conventional phase-inverting strategy.

Original languageEnglish
Title of host publicationISEMC 2025 - 8th International Symposium on Electromagnetic Compatibility, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331579159
DOIs
StatePublished - 2025
Event8th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2025 - Hefei, China
Duration: 10 Oct 202512 Oct 2025

Publication series

NameISEMC 2025 - 8th International Symposium on Electromagnetic Compatibility, Proceedings

Conference

Conference8th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2025
Country/TerritoryChina
CityHefei
Period10/10/2512/10/25

Keywords

  • Fault diagnosis
  • Hadamard matrix
  • measurement noise
  • phase deviation
  • reconfigurable intelligent surfaces (RISs)

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