Near-field velocity sensing and predictive beamforming

Zhaolin Wang; Xidong Mu; Yuanwei Liu

doi:10.1109/TVT.2024.3454481

Near-field velocity sensing and predictive beamforming

Zhaolin Wang
, Xidong Mu
, Yuanwei Liu

School of Electronics, Electrical Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

86 Downloads (Pure)

Abstract

The novel concept of near-field velocity sensing is proposed. In contrast to far-field velocity sensing, near-field velocity sensing enables the simultaneous estimation of both radial and transverse velocities of a moving target in the mono-static setup. A maximum-likelihood-based method is proposed for jointly estimating the radial and transverse velocities from the echo signals. Assisted by near-field velocity sensing, a predictive beamforming framework is proposed for a moving communication user, which requires no channel estimation and prior knowledge of user motion model. Finally, numerical examples validate the proposed approaches.

Original language	English
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Early online date	04 Sept 2024
DOIs	https://doi.org/10.1109/TVT.2024.3454481
Publication status	Early online date - 04 Sept 2024

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Keywords

near-field velocity sensing
far-field velocity sensing
transverse velocities
radial velocities

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Near-field velocity sensing and predictive beamforming
Copyright 2024 the authors. This is an accepted manuscript distributed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Accepted author manuscript, 803 KBLicence: CC BY

Cite this

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abstract = "The novel concept of near-field velocity sensing is proposed. In contrast to far-field velocity sensing, near-field velocity sensing enables the simultaneous estimation of both radial and transverse velocities of a moving target in the mono-static setup. A maximum-likelihood-based method is proposed for jointly estimating the radial and transverse velocities from the echo signals. Assisted by near-field velocity sensing, a predictive beamforming framework is proposed for a moving communication user, which requires no channel estimation and prior knowledge of user motion model. Finally, numerical examples validate the proposed approaches.",

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AB - The novel concept of near-field velocity sensing is proposed. In contrast to far-field velocity sensing, near-field velocity sensing enables the simultaneous estimation of both radial and transverse velocities of a moving target in the mono-static setup. A maximum-likelihood-based method is proposed for jointly estimating the radial and transverse velocities from the echo signals. Assisted by near-field velocity sensing, a predictive beamforming framework is proposed for a moving communication user, which requires no channel estimation and prior knowledge of user motion model. Finally, numerical examples validate the proposed approaches.

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Near-field velocity sensing and predictive beamforming

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Keywords

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