Beam Focusing for Near-Field Multi-User Localization

  • Qianyu Yang
  • , Anna Guerra
  • , Francesco Guidi
  • , Nir Shlezinger
  • , Haiyang Zhang
  • , Davide Dardari
  • , Baoyun Wang
  • , Yonina C. Eldar

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Extremely large-scale antenna arrays are poised to play a pivotal role in sixth-generation (6G) networks. Utilizing such arrays often results in a near-field spherical wave transmission environment, enabling the generation of focused beams, which introduces new degrees of freedom for wireless localization. In this paper, we consider a beam-focusing design for localizing multiple sources in the radiating near-field. Our formulation accommodates various expected types of implementations of large antenna arrays, including hybrid analog/digital architectures and dynamic metasurface antennas (DMAs). We consider a direct localization estimation method exploiting curvature-of-arrival of impinging spherical wavefront to obtain user positions. In this regard, we adopt a two-stage approach configuring the array to optimize near-field positioning. In the first step, we focus only on adjusting the array coefficients, assuming actual user positions have been known, to minimize the estimation error. We obtain a closed-form approximate solution based on projection and a better one based on the Riemann gradient algorithm. We then extend this approach to localize and focus the beams simultaneously via a sub-optimal iterative approach that does not rely on such pre knowledge of positions. The simulation results show that near-field localization accuracy based on a hybrid array or DMA can achieve performance close to that of fully digital arrays at a lower cost, and DMAs can attain better performance than hybrid solutions with the same aperture.

Original languageEnglish
Pages (from-to)12259-12273
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Volume74
Issue number8
DOIs
StatePublished - 1 Jan 2025

Keywords

  • dynamic metasurface antennas
  • hybrid analog/digital array
  • Near-field multi-user localization

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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