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

Abstract

Extremely large-scale antenna arrays are poised to play a pivotal role in sixth-generation (6 G) 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 languageAmerican English
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Early online date14 Mar 2025
DOIs
StatePublished Online - 14 Mar 2025

All Science Journal Classification (ASJC) codes

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

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