A Scatterer Localization Method Using Large-Scale Antenna Array Systems
Zhang, Guojin ; Cai, Xuesong LU ; Nielsen, Jesper Odum ; Pedersen, Gert Frolund and Tufvesson, Fredrik LU
(2022)
The 2022 IEEE Conference on Antenna Measurements and Applications (IEEE CAMA)
- Abstract
- As ultra-massive multiple-input multiple-output (UM-MIMO) has emerged as a key technology for millimeter-wave and terahertz communications, the spherical wave propagation should be considered for channel modeling. Therefore, it is critical to identify the locations and evolving behaviors of scatterers, i.e., the sources of the spherical wavefronts. In this contribution, a novel space-alternating generalized expectation-maximization (SAGE) based scatterer localization algorithm is proposed, where a large-scale antenna array is divided into multiple sub-arrays. Due to the decreased aperture of each sub-array, plane wave assumption can be applied to estimate the angles of departure/arrival, delays and amplitudes of multipath components... (More)
- As ultra-massive multiple-input multiple-output (UM-MIMO) has emerged as a key technology for millimeter-wave and terahertz communications, the spherical wave propagation should be considered for channel modeling. Therefore, it is critical to identify the locations and evolving behaviors of scatterers, i.e., the sources of the spherical wavefronts. In this contribution, a novel space-alternating generalized expectation-maximization (SAGE) based scatterer localization algorithm is proposed, where a large-scale antenna array is divided into multiple sub-arrays. Due to the decreased aperture of each sub-array, plane wave assumption can be applied to estimate the angles of departure/arrival, delays and amplitudes of multipath components (MPCs). Based on the angle variations of MPCs observed at different sub-arrays, the corresponding scatterers can be located. The proposed algorithm is verified in a simulation using a large-scale uniform circular array (UCA) system. Moreover, we apply this algorithm to an indoor measurement campaign conducted at 27-29\,GHz in a hall scenario. Dominant scatterers are identified, which can be used for the development of further geometry-based stochastic channel models. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/6054f387-3a3e-4dd0-b043-faa61d8132c6
- author
- Zhang, Guojin
; Cai, Xuesong
LU
; Nielsen, Jesper Odum
; Pedersen, Gert Frolund
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2022 IEEE Conference on Antenna Measurements & Applications
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- The 2022 IEEE Conference on Antenna Measurements and Applications (IEEE CAMA)
- conference location
- Guangzhou, China
- conference dates
- 2022-11-14 - 2022-11-17
- external identifiers
-
- scopus:85148296729
- ISBN
- 978-166549037-5
- DOI
- 10.1109/CAMA56352.2022.10002505
- language
- English
- LU publication?
- yes
- id
- 6054f387-3a3e-4dd0-b043-faa61d8132c6
- date added to LUP
- 2022-10-03 16:56:51
- date last changed
- 2023-11-21 05:25:40
@inproceedings{6054f387-3a3e-4dd0-b043-faa61d8132c6,
abstract = {{As ultra-massive multiple-input multiple-output (UM-MIMO) has emerged as a key technology for millimeter-wave and terahertz communications, the spherical wave propagation should be considered for channel modeling. Therefore, it is critical to identify the locations and evolving behaviors of scatterers, i.e., the sources of the spherical wavefronts. In this contribution, a novel space-alternating generalized expectation-maximization (SAGE) based scatterer localization algorithm is proposed, where a large-scale antenna array is divided into multiple sub-arrays. Due to the decreased aperture of each sub-array, plane wave assumption can be applied to estimate the angles of departure/arrival, delays and amplitudes of multipath components (MPCs). Based on the angle variations of MPCs observed at different sub-arrays, the corresponding scatterers can be located. The proposed algorithm is verified in a simulation using a large-scale uniform circular array (UCA) system. Moreover, we apply this algorithm to an indoor measurement campaign conducted at 27-29\,GHz in a hall scenario. Dominant scatterers are identified, which can be used for the development of further geometry-based stochastic channel models.}},
author = {{Zhang, Guojin and Cai, Xuesong and Nielsen, Jesper Odum and Pedersen, Gert Frolund and Tufvesson, Fredrik}},
booktitle = {{2022 IEEE Conference on Antenna Measurements & Applications}},
isbn = {{978-166549037-5}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{A Scatterer Localization Method Using Large-Scale Antenna Array Systems}},
url = {{https://lup.lub.lu.se/search/files/124962238/Scatterer_localization.pdf}},
doi = {{10.1109/CAMA56352.2022.10002505}},
year = {{2022}},
}