Near-field channel reconstruction and user location for ELAA systems

Zhizheng Lu*, Yu Han, Shi Jin, Michail Matthaiou, Tony Q.S. Quek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
285 Downloads (Pure)

Abstract

In this paper, we propose an efficient near-field channel reconstruction and user localization scheme for extremely large-scale antenna array (ELAA) systems. Due to the non-negligible near-field effect in ELAA systems, a more realistic near-field multipath channel model, which incorporates the unequal path loss and the phase deviations across antennas and models line-of-sight (LoS), reflection, and scattering, is considered. A subarray hybrid beamforming architecture is further employed to reduce the cost of using ELAA. Based on the sparsity of the near-field channel in the joint angle-distance domain, a near-field Newtonized orthogonal matching pursuit algorithm is proposed to estimate the multipath parameters. Reconstruction of the near-field channel and positioning of the user can be achieved based on the estimated parameters. Our numerical results verify that the reconstructed channel is very close to the real near-field channel, and the user localization has high accuracy whether a LoS component exists or not, validating the effectiveness and reliability of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings: 2022 IEEE International Symposium on Wireless Communications Systems (ISWCS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665455442
DOIs
Publication statusPublished - 16 Nov 2022

Publication series

NameInternational Symposium on Wireless Communication Systems (ISWCS): Proceedings
PublisherIEEE

Fingerprint

Dive into the research topics of 'Near-field channel reconstruction and user location for ELAA systems'. Together they form a unique fingerprint.

Cite this