Misspecified Cramér-Rao Bound of RIS-Aided Localization Under Geometry Mismatch

Pinjun Zheng, Hui Chen, Tarig Ballal, Henk Wymeersch, Tareq Y. Al-Naffouri

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios. However, most existing RIS-aided localization works assume that the geometry of the RIS is perfectly known, which is not realistic in practice due to calibration errors. In this work, we derive the misspecified Cramér-Rao bound (MCRB) for a single-input-single-output RIS-aided localization system with RIS geometry mismatch. Specifically, unlike most existing works that use numerical methods, we propose a closed-form solution to the pseudo-true parameter determination problem for MCRB analysis. Simulation results demonstrate the validity of the derived pseudo-true parameters and MCRB, and show that the RIS geometry mismatch causes performance saturation in the high signal-to-noise ratio regions.

Original languageEnglish (US)
DOIs
StatePublished - 2023
Event48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece
Duration: Jun 4 2023Jun 10 2023

Conference

Conference48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/TerritoryGreece
CityRhodes Island
Period06/4/2306/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • 5G/6G
  • calibration error
  • geometry mismatch
  • Localization
  • MCRB
  • RIS

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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