Velocity Vector Synthesis Method Based on Distributed Millimeter Wave Radar System

In order to solve the problem of only obtaining the velocity vector size of the target when configuring a single radar and the possible mutual interference in multi radar systems, this paper proposes a velocity vector synthesis method, which utilizes the relationship between the velocity vector direction of the target and the angle of the radar relative to the target, combined with multi-source data fusion of multiple radars, to achieve the goal of target tracking and improve the estimation accuracy of specific target parameters. The results indicate that more accurate target localization results can be obtained, and the algorithm proposed in this paper has improved performance by about $70 \%$ compared to traditional algorithms.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/iccsn63464.2024.10793274
Citations
1
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.33
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article

Velocity Vector Synthesis Method Based on Distributed Millimeter Wave Radar System

Y Mao, Lou Zhao, M. J. Ling
1 citations
Simulation and Modeling Applications
0.33
article

Velocity Vector Synthesis Method Based on Distributed Millimeter Wave Radar System

Y Mao, Lou Zhao, M. J. Ling
article en
1 citations

Abstract

In order to solve the problem of only obtaining the velocity vector size of the target when configuring a single radar and the possible mutual interference in multi radar systems, this paper proposes a velocity vector synthesis method, which utilizes the relationship between the velocity vector direction of the target and the angle of the radar relative to the target, combined with multi-source data fusion of multiple radars, to achieve the goal of target tracking and improve the estimation accuracy of specific target parameters. The results indicate that more accurate target localization results can be obtained, and the algorithm proposed in this paper has improved performance by about $70 \%$ compared to traditional algorithms.

Hangzhou Dianzi University (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Simulation and Modeling Applications
0.33
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