Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications

Songtao Xue; Jingjing Zhao; Xidong Mu; Kaiquan Cai; Yanbo Zhu; Yuanwei Liu

doi:10.1109/WCNC61545.2025.10978527

Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications

Songtao Xue^*
, Jingjing Zhao^*
, Xidong Mu
, Kaiquan Cai^*
, Yanbo Zhu^*
, Yuanwei Liu

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University
Queen's University Belfast
Aviation Data Communication Corporation
The University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The real-time near-field beamforming framework with the aided of 3D velocity sensing and localization for unmanned aerial vehicle (UAV) communications is proposed. Exploiting the variant Doppler shift over the spatial domain in the near field, the three-dimensional (3D) velocities are estimated with the echo signals. To provide timely correction of the location prediction errors with the estimated velocities, the extended Kalman filter (EKF) is adopted to fuse the predicted states and the estimated ones. Subsequently, the near-field beamforming can be conducted with the predicted locations of the UAV, thereby realizing zero-pilot and low-latency transmission. Numerical results unveil that, the proposed scheme can achieve the accurate tracking of the UAV's flying route.

Original language	English
Title of host publication	2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350368369
DOIs	https://doi.org/10.1109/WCNC61545.2025.10978527
State	Published - 2025
Event	2025 IEEE Wireless Communications and Networking Conference, WCNC 2025 - Milan, Italy Duration: 24 Mar 2025 → 27 Mar 2025

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Electronic)	1558-2612

Conference

Conference	2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
Country/Territory	Italy
City	Milan
Period	24/03/25 → 27/03/25

Keywords

Extended Kalman filter
Near-field sensing
localization
unmanned aerial vehicle communications
velocity sensing

Access to Document

10.1109/WCNC61545.2025.10978527

Cite this

Xue, S., Zhao, J., Mu, X., Cai, K., Zhu, Y., & Liu, Y. (2025). Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications. In 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC61545.2025.10978527

@inproceedings{8788fdc1976748bc9deadb951a6a645b,

title = "Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications",

abstract = "The real-time near-field beamforming framework with the aided of 3D velocity sensing and localization for unmanned aerial vehicle (UAV) communications is proposed. Exploiting the variant Doppler shift over the spatial domain in the near field, the three-dimensional (3D) velocities are estimated with the echo signals. To provide timely correction of the location prediction errors with the estimated velocities, the extended Kalman filter (EKF) is adopted to fuse the predicted states and the estimated ones. Subsequently, the near-field beamforming can be conducted with the predicted locations of the UAV, thereby realizing zero-pilot and low-latency transmission. Numerical results unveil that, the proposed scheme can achieve the accurate tracking of the UAV's flying route.",

keywords = "Extended Kalman filter, Near-field sensing, localization, unmanned aerial vehicle communications, velocity sensing",

author = "Songtao Xue and Jingjing Zhao and Xidong Mu and Kaiquan Cai and Yanbo Zhu and Yuanwei Liu",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025 ; Conference date: 24-03-2025 Through 27-03-2025",

year = "2025",

doi = "10.1109/WCNC61545.2025.10978527",

language = "英语",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE Wireless Communications and Networking Conference, WCNC 2025",

address = "美国",

}

Xue, S, Zhao, J, Mu, X, Cai, K, Zhu, Y & Liu, Y 2025, Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications. in 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025. IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025, Milan, Italy, 24/03/25. https://doi.org/10.1109/WCNC61545.2025.10978527

Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications. / Xue, Songtao; Zhao, Jingjing; Mu, Xidong et al.
2025 IEEE Wireless Communications and Networking Conference, WCNC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications

AU - Xue, Songtao

AU - Zhao, Jingjing

AU - Mu, Xidong

AU - Cai, Kaiquan

AU - Zhu, Yanbo

AU - Liu, Yuanwei

PY - 2025

Y1 - 2025

N2 - The real-time near-field beamforming framework with the aided of 3D velocity sensing and localization for unmanned aerial vehicle (UAV) communications is proposed. Exploiting the variant Doppler shift over the spatial domain in the near field, the three-dimensional (3D) velocities are estimated with the echo signals. To provide timely correction of the location prediction errors with the estimated velocities, the extended Kalman filter (EKF) is adopted to fuse the predicted states and the estimated ones. Subsequently, the near-field beamforming can be conducted with the predicted locations of the UAV, thereby realizing zero-pilot and low-latency transmission. Numerical results unveil that, the proposed scheme can achieve the accurate tracking of the UAV's flying route.

AB - The real-time near-field beamforming framework with the aided of 3D velocity sensing and localization for unmanned aerial vehicle (UAV) communications is proposed. Exploiting the variant Doppler shift over the spatial domain in the near field, the three-dimensional (3D) velocities are estimated with the echo signals. To provide timely correction of the location prediction errors with the estimated velocities, the extended Kalman filter (EKF) is adopted to fuse the predicted states and the estimated ones. Subsequently, the near-field beamforming can be conducted with the predicted locations of the UAV, thereby realizing zero-pilot and low-latency transmission. Numerical results unveil that, the proposed scheme can achieve the accurate tracking of the UAV's flying route.

KW - Extended Kalman filter

KW - Near-field sensing

KW - localization

KW - unmanned aerial vehicle communications

KW - velocity sensing

UR - https://www.scopus.com/pages/publications/105006447405

U2 - 10.1109/WCNC61545.2025.10978527

DO - 10.1109/WCNC61545.2025.10978527

M3 - 会议稿件

AN - SCOPUS:105006447405

T3 - IEEE Wireless Communications and Networking Conference, WCNC

BT - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

Y2 - 24 March 2025 through 27 March 2025

ER -

Near-Field Beamforming With 3D Velocity Sensing and Localization for Uav Communications

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