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BF System Millimeter-Wave Radar Design and Point Cloud Clustering Method Research
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Zihang YAN, Hua ZHANG, Bo YAN, Jingrong SUN
Radar Science and Technology | 2025, 23(5) : 513 - 522
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Radar Science and Technology | 2025, 23(5): 513-522
BF System Millimeter-Wave Radar Design and Point Cloud Clustering Method Research
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Zihang YAN, Hua ZHANG, Bo YAN, Jingrong SUN
Affiliations
  • School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China
doi: 10.3969/j.issn.1672-2337.2025.05.005
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In recent years, millimeter-wave radars have become more and more widely used in the field of smart transportation due to their small size, light weight, fast processing speed and high detection accuracy. Millimeter-wave radars have different beam systems and their principles are different. For beamforming (BF) system millimeter-wave radars, this paper first introduces the principle of beamforming and scanning, and then designs a suitable microstrip array antenna. The radar hardware RF board is developed by cascading four chips. On this basis, the process of obtaining data for radar target detection is given. Combined with the target data and point cloud features under the BF radar, a target point cloud clustering method using the regional growth idea is proposed. Finally, the feasibility and effectiveness of this method are verified through field experiments. By comparing with the traditional DBSCAN algorithm, this method can effectively solve the problem that two targets are easily clustered into one target when the distance between two targets is close. At the same time, it can effectively reduce the processing time when the number of point clouds is large. This method provides strong support for the application of target detection, tracking and recognition of the BF radar platform, and has broad application prospects and practical value.

millimeter-wave radar  /  four-chip cascade  /  BF system  /  regional growth  /  point cloud clustering
Zihang YAN, Hua ZHANG, Bo YAN, Jingrong SUN. BF System Millimeter-Wave Radar Design and Point Cloud Clustering Method Research[J]. Radar Science and Technology, 2025 , 23 (5) : 513 -522 . DOI: 10.3969/j.issn.1672-2337.2025.05.005
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Year 2025 volume 23 Issue 5
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doi: 10.3969/j.issn.1672-2337.2025.05.005
  • Receive Date：2024-09-21
  • Online Date：2026-04-23
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  • Received：2024-09-21
  • Revised：2025-01-21
Affiliations
    School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China
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