Multiple Near-field User 3D Localization for Extremely Large Scale UPA

Application of the extremely large-scale antenna arrays and higher frequency bands in the sixth-generation communications obviously enlarge the scope of Fresnel area, which benefits the localization of users. However, the cross term between the two position parameters becomes a challenge for acquiring the three-dimensional (3D) position of a user in the Fresnel area of an extremely large-scale uniform planar array (UPA). To address this question, a generalized estimation of signal parameters via rotational invariant techniques (ESPRIT) based low-complexity and super-resolution 3D user localization algorithm is proposed, based on which a near-field channel estimation method is developed. First, two sub-UPA geometries are designed to separate the coupled term, which convert two-dimensional searching to two one-dimensional searching and greatly reduce the computational complexity. Then, the elevation and azimuth angles are separately estimated using twice the one-dimensional generalized ESPRIT algorithm, based on which the super-resolution algorithm is obtained. Especially, the elevation angles of multi-users can be estimated simultaneously, while the azimuth angles and distance are estimated sequentially to avoid the angle parameters pairing. Subsequently, the near-field channel is estimated based on the location parameters. Finally, the simulations are presented to verify the performance of the proposed algorithm.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162418
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

Multiple Near-field User 3D Localization for Extremely Large Scale UPA

Mugen Peng, Hongxia Miao
Indoor and Outdoor Localization Technologies
article

Multiple Near-field User 3D Localization for Extremely Large Scale UPA

Mugen Peng, Hongxia Miao
article en

Abstract

Application of the extremely large-scale antenna arrays and higher frequency bands in the sixth-generation communications obviously enlarge the scope of Fresnel area, which benefits the localization of users. However, the cross term between the two position parameters becomes a challenge for acquiring the three-dimensional (3D) position of a user in the Fresnel area of an extremely large-scale uniform planar array (UPA). To address this question, a generalized estimation of signal parameters via rotational invariant techniques (ESPRIT) based low-complexity and super-resolution 3D user localization algorithm is proposed, based on which a near-field channel estimation method is developed. First, two sub-UPA geometries are designed to separate the coupled term, which convert two-dimensional searching to two one-dimensional searching and greatly reduce the computational complexity. Then, the elevation and azimuth angles are separately estimated using twice the one-dimensional generalized ESPRIT algorithm, based on which the super-resolution algorithm is obtained. Especially, the elevation angles of multi-users can be estimated simultaneously, while the azimuth angles and distance are estimated sequentially to avoid the angle parameters pairing. Subsequently, the near-field channel is estimated based on the location parameters. Finally, the simulations are presented to verify the performance of the proposed algorithm.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 75%
Indoor and Outdoor Localization Technologies
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