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Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays

Huang, Huiping ; Pourafzal, Alireza ; Chen, Hui ; Keskin, Musa Furkan ; Li, Mengting ; Ge, Yu ; Tufvesson, Fredrik LU orcid ; Wymeersch, Henk and Cai, Xuesong LU (2025) 33rd European Signal Processing Conference, EUSIPCO 2025 In European Signal Processing Conference p.965-969
Abstract

In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for. We propose an Ising model to characterize the clustered sparsity feature of the blockage pattern, develop an algorithm based on alternating optimization for joint channel parameter estimation and visibility region detection, and further estimate the locations of the user and environmental scatterers. The simulation results confirm the effectiveness of the proposed algorithm compared to conventional methods.

Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Extremely large aperture array, near-field channel estimation, partial blockage detection, visible region detection
host publication
2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings
series title
European Signal Processing Conference
pages
5 pages
publisher
European Signal Processing Conference, EUSIPCO
conference name
33rd European Signal Processing Conference, EUSIPCO 2025
conference location
Palermo, Italy
conference dates
2025-09-08 - 2025-09-12
external identifiers
  • scopus:105029830086
ISSN
2219-5491
ISBN
9789464593624
DOI
10.23919/EUSIPCO63237.2025.11226700
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 European Signal Processing Conference, EUSIPCO. All rights reserved.
id
679cad44-2abb-4b6d-851b-f5dcc2e879d2
date added to LUP
2026-03-10 15:21:43
date last changed
2026-03-10 15:23:19
@inproceedings{679cad44-2abb-4b6d-851b-f5dcc2e879d2,
  abstract     = {{<p>In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for. We propose an Ising model to characterize the clustered sparsity feature of the blockage pattern, develop an algorithm based on alternating optimization for joint channel parameter estimation and visibility region detection, and further estimate the locations of the user and environmental scatterers. The simulation results confirm the effectiveness of the proposed algorithm compared to conventional methods.</p>}},
  author       = {{Huang, Huiping and Pourafzal, Alireza and Chen, Hui and Keskin, Musa Furkan and Li, Mengting and Ge, Yu and Tufvesson, Fredrik and Wymeersch, Henk and Cai, Xuesong}},
  booktitle    = {{2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings}},
  isbn         = {{9789464593624}},
  issn         = {{2219-5491}},
  keywords     = {{Extremely large aperture array; near-field channel estimation; partial blockage detection; visible region detection}},
  language     = {{eng}},
  pages        = {{965--969}},
  publisher    = {{European Signal Processing Conference, EUSIPCO}},
  series       = {{European Signal Processing Conference}},
  title        = {{Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays}},
  url          = {{http://dx.doi.org/10.23919/EUSIPCO63237.2025.11226700}},
  doi          = {{10.23919/EUSIPCO63237.2025.11226700}},
  year         = {{2025}},
}