near-field-velocity-sensing-and-predictive-beamforming

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near-field-velocity-sensing-and-predictive-beamforming

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The code for the paper "Near-Field Velocity Sensing and Predictive Beamforming" in IEEE Transactions on Vehicular Technology

near-field-velocity-sensing-and-predictive-beamforming 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Near-Field Velocity Sensing and Predictive Beamforming

The code for the paper

**Z. Wang, X. Mu, and Y. Liu, “Near-Field Velocity Sensing and Predictive Beamforming,” *IEEE Transactions on Vehicular Technology*, vol. 74, no. 1, pp. 1806-1810, Jan. 2025** [[Arxiv](https://arxiv.org/abs/2311.09888)] [[IEEE](https://ieeexplore.ieee.org/abstract/document/10664591)]

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.

## Running the simulations

### Prerequisites

- [MATLAB 2023b](https://uk.mathworks.com/products/matlab.html)

### Launch

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.

### Expected Results

#### Performance of near-field velocity sensing.
<img decoding="async" src="./img/radial_sensing.jpg" width="60%">
<img decoding="async" src="./img/transverse_sensing.jpg" width="60%">

#### Performance of predictive beamforming.
<img decoding="async" src="./img/radial.jpg" width="60%">
<img decoding="async" src="./img/transverse.jpg" width="60%">
<img decoding="async" src="./img/trajectory.jpg" width="60%">
<img decoding="async" src="./img/rate.jpg" width="60%">

## Citing
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_velocity,
  title={Near-Field Velocity Sensing and Predictive Beamforming},
  author={Wang, Zhaolin and Mu, Xidong and Liu, Yuanwei},
  journal={IEEE Transactions on Vehicular Technology}, 
  year={2025},
  month=jan,
  volume={74},
  number={1},
  pages={1806-1810}
}
```

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