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.

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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
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article

Beam Focusing for Near-Field Multi-User Localization

Yonina C. Eldar, Francesco Guidi, Nir Shlezinger, Baoyun Wang et al.
6 citations
IEEE Transactions on Vehicular Technology
Indoor and Outdoor Localization Technologies
4.38
article

Beam Focusing for Near-Field Multi-User Localization

Yonina C. Eldar, Francesco Guidi, Nir Shlezinger, Baoyun Wang, Anna Guerra, Davide Dardari, Haiyang Zhang, Qianyu Yang
article en
6 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.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
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)
Openalex Percentile: Top 6%
Indoor and Outdoor Localization Technologies
4.38
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