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SU Qi, LIU Benyuan, CHEN Xiaotian, et al. Data acquisition for detecting low-observable targets at sea by using the holographic staring radar[J]. Journal of Radars, in press. doi: 10.12000/JR25055
Citation: SU Qi, LIU Benyuan, CHEN Xiaotian, et al. Data acquisition for detecting low-observable targets at sea by using the holographic staring radar[J]. Journal of Radars, in press. doi: 10.12000/JR25055
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Data Acquisition for Detecting Low-observable Targets at Sea by Using the Holographic Staring Radar

DOI: 10.12000/JR25055 CSTR: 32380.14.JR25055
  • 1.

    Ocean College of Zhejiang University, Zhoushan 316021, China

  • 2.

    Hainan Institute, Zhejiang University, Sanya 572025, China

  • 3.

    Air Force Medical University, Xi’an 710032, China

  • 4.

    North China Electric Power University, Beijing 102206, China

More Information
  • Corresponding author: CHEN Xiaotian, 48333390@qq.com; ZHI Guangxin, 1019739286@qq.com
  • Received Date: 2025-03-24
  • Rev Recd Date: 2025-06-29
    • Available Online: 2025-07-09
    Abstract
  • Detecting targets despite sea clutter is crucial in military and civilian applications. In complex marine environments, sea clutter exhibits target-like spikes and inherently broad-spectrum characteristics, posing a significant challenge for marine radars in detecting Low-Slow-Small (LSS) targets and leading to high false alarm rates. In this study, an S-band holographic staring radar with high-Doppler and high-range-resolution capabilities (i.e., “dual-high” capability) was utilized in sea detection experiments. We obtained sea clutter data, LSS target data (over the sea surface and in the air), ground truth data on target positions and trajectories, as well as wind and wave data. Using these data, we constructed an S-band holographic staring radar dataset for low-observable targets at sea. The time-domain, frequency-domain, and time-Doppler characteristics of the dataset were analyzed, and the results served as a reference for data utilization. Future work will involve continuing experiments to expand the maritime experimental environment (e.g., sea state and region) and target types toward enhancing data diversity. This open dataset will support the enhancement of new radar systems for detecting low-observable targets at sea and improving maritime target detection and recognition performance.

     

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