Near-Field Channel Reconstruction and User Localization for ELAA Systems
ID:65 View Protection:ATTENDEE Updated Time:2022-10-11 13:10:19 Hits:546 Oral Presentation

Start Time:2022-10-19 16:00(Asia/Shanghai)

Duration:15min

Session:SS Special Session » SS8SS8: Integrated Sensing and Communications for 6G

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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.
Keywords
Speaker
Zhizheng Lu
Southeast University

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Important Date
  • Conference Date

    Oct 19

    2022

    to

    Oct 22

    2022

Sponsored By
Zhejiang University
Organized By
Zhejiang University