The code for the paper
Z. Wang, X. Mu, and Y. Liu, “Near-Field Velocity Sensing and Predictive Beamforming,” arXiv preprint arXiv:2311.09888, 2023 [Arxiv]
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. 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 but achieves seamless data transmission. Finally, numerical examples validate the proposed approaches.
Run Fig_2.m for plotting Fig. 2 in this paper.
Run predictive_beamforming.m for plotting Fig. 3, Fig. 4, and Fig. 5 in this paper.
If you in any way use this code for research, please cite our original article listed above. The corresponding BiBTeX citation is given below:
@article{wang2023near,
title={Near-Field Velocity Sensing and Predictive Beamforming},
author={Wang, Zhaolin and Mu, Xidong and Liu, Yuanwei},
journal={arXiv preprint arXiv:2311.09888},
year={2023}
}