TY - GEN
T1 - A Scatterer Localization Method Using Large-Scale Antenna Array Systems
AU - Zhang, Guojin
AU - Cai, Xuesong
AU - Nielsen, Jesper Ødum
AU - Pedersen, Gert Frølund
AU - Tufvesson, Fredrik
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Large-scale antenna array
KW - channel parameter estimation
KW - scatterer localization
KW - spherical wave propagation
UR - http://www.scopus.com/inward/record.url?scp=85148296729&partnerID=8YFLogxK
U2 - 10.1109/CAMA56352.2022.10002505
DO - 10.1109/CAMA56352.2022.10002505
M3 - Article in proceeding
T3 - IEEE Conference on Antenna Measurements & Applications (CAMA)
BT - 2022 IEEE Conference on Antenna Measurements and Applications (CAMA)
PB - IEEE (Institute of Electrical and Electronics Engineers)
T2 - 2022 IEEE Conference on Antenna Measurements and Applications (CAMA)
Y2 - 14 December 2022 through 17 December 2022
ER -