Beamforming Design and Performance Evaluation for RIS-Aided Localization Using LEO Satellite Signals

Lei Wang; Pinjun Zheng; Xing Liu; Tarig Ballal; Tareq Y. Al-Naffouri

ICASSP 2024accepted0 citations

Beamforming Design and Performance Evaluation for RIS-Aided Localization Using LEO Satellite Signals

Lei Wang, Pinjun Zheng, Xing Liu, Tarig Ballal, Tareq Y. Al-Naffouri

Abstract

The growing availability of low-Earth orbit (LEO) satellites, coupled with the anticipated widespread deployment of reconfigurable intelligent surfaces (RISs), opens up promising prospects for new localization paradigms. This paper studies RIS-aided localization using LEO satellite signals. The Cramér-Rao bound of the considered localization problem is derived, based on which an optimal RIS beamforming design that minimizes the derived bound is proposed. Numerical results demonstrate the superiority of the proposed beamforming scheme over benchmark alternatives, while also revealing that the synergy between LEO satellites and RISs holds the promise for localization.

BibTeX

@inproceedings{icassp2024_beamformingdesig,
  title = {Beamforming Design and Performance Evaluation for RIS-Aided Localization Using LEO Satellite Signals},
  author = {Lei Wang and Pinjun Zheng and Xing Liu and Tarig Ballal and Tareq Y. Al-Naffouri},
  booktitle = {ICASSP 2024},
  year = {2024}
}