ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Near-Field LoS MIMO Channel Representation Based on Consecutively Pairwise-Division for Phase Linearization
Cited 0 time in scopus Download 15 time Share share facebook twitter linkedin kakaostory
Authors
Woong-Hee Lee, Dong-Hwan Kim, Hyunduk Kang, Ho-Kyung Son, Jong-Ho Lee, Namyoon Lee
Issue Date
2026-05
Citation
IEEE Access, v.14, pp.77614-77623
ISSN
2169-3536
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/ACCESS.2026.3693983
Abstract
In this paper, we propose a new channel representation method that facilitates a user localization problem in near-field line-of-sight (LoS) channel environments. Our approach is to harness a phase linearization method. Unlike a far-field channel model, the phase response of the near-field channel is characterized as a quadratic function across antennas, which arises from the second-order Taylor approximation of the spherical wavefront. Thus, in a continuous domain, the differentiation of this function yields a linear function, which forms the basis of our method. To implement this in the spatial sampling domain, pairwise division relationships are established between the elements of the observed channel. We refer to this near-field LoS MIMO channel representation based on consecutively pairwise division (CPD). More specifically, there are two representative types of patterns in terms of the index pairing pattern. One pattern maintains a constant difference between indices, whereas the other maintains a constant sum. In order to validate our proposed CPD method, we demonstrate through simulations that our approach enables user localization with significantly improved accuracy compared to conventional methods.
Keyword
line-of-sight, near-field, Pairwise-division, phase linearization, user localization
KSP Keywords
Channel representation, Conventional methods, Improved Accuracy, LOS MIMO, Line-of-Sight(LOS), Linear function, Localization problem, MIMO channel, Representation method, Spatial sampling, Spherical wavefront
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY