Beam Focusing for Near-Field Multi-User Localization
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.
Authors
- Yonina C. Eldar (ORCID: https://orcid.org/0000-0003-4358-5304)
- Francesco Guidi (ORCID: https://orcid.org/0000-0002-1773-8541)
- Nir Shlezinger (ORCID: https://orcid.org/0000-0003-2234-929X)
- Baoyun Wang (ORCID: https://orcid.org/0000-0002-7784-5605)
- Anna Guerra (ORCID: https://orcid.org/0000-0001-5214-1444)
- Davide Dardari (ORCID: https://orcid.org/0000-0002-5994-1310)
- Haiyang Zhang (ORCID: https://orcid.org/0000-0002-9136-0735)
- Qianyu Yang (ORCID: https://orcid.org/0009-0009-0919-7392)
Institutions
- Ben-Gurion University of the Negev (IL)
- Nanjing University of Posts and Telecommunications (CN)
- Institute of Electronics, Computer and Telecommunication Engineering (IT)
- National Research Council (IT)
- Weizmann Institute of Science (IL)
- University of Bologna (IT)
Publication Details
- Journal
- IEEE Transactions on Vehicular Technology
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1109/tvt.2025.3551502
- Citations
- 6
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 4.38