• Journal of Electronic Science and Technology
  • Vol. 22, Issue 2, 100257 (2024)
Cheng-Wei Zhang1, Zhi-Qin Zhao2, Wei Yang2, Li-Lai Zhou3, and Hai-Yu Zhu2
Author Affiliations
  • 1Southwest China Institute of Electronic Technology, Chengdu, 610036, China
  • 2School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China
  • 3Tencent Company, Shenzhen, 518054, China
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    DOI: 10.1016/j.jnlest.2024.100257 Cite this Article
    Cheng-Wei Zhang, Zhi-Qin Zhao, Wei Yang, Li-Lai Zhou, Hai-Yu Zhu. Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology[J]. Journal of Electronic Science and Technology, 2024, 22(2): 100257 Copy Citation Text show less
    CPU-GPU parallelism.
    Fig. 1. CPU-GPU parallelism.
    Multi-GPU parallel framework.
    Fig. 2. Multi-GPU parallel framework.
    Scaled ship on sea and its radar cross section comparison results: (a) model of scaled ship on sea, (b) vertical-vertical, and (c) horizontal-horizontal.
    Fig. 3. Scaled ship on sea and its radar cross section comparison results: (a) model of scaled ship on sea, (b) vertical-vertical, and (c) horizontal-horizontal.
    A fleet of cargo ships.
    Fig. 4. A fleet of cargo ships.
    RCS results at pitch angles and sea scenes: (a) 400 m×400 m sea and (b) 800 m×800 m sea.
    Fig. 5. RCS results at pitch angles and sea scenes: (a) 400 m×400 m sea and (b) 800 m×800 m sea.
    Comparison of ship imaging at different sea states and angles: (a) calm sea with a grazing angle of 40°, (b) calm sea with a grazing angle of 20°, (c) level 1 sea with a grazing angle of 40°, (d) level 1 sea with a grazing angle of 20°, (e) level 2 sea with a grazing angle of 40°, and (f) level 2 sea with a grazing angle of 20°.
    Fig. 6. Comparison of ship imaging at different sea states and angles: (a) calm sea with a grazing angle of 40°, (b) calm sea with a grazing angle of 20°, (c) level 1 sea with a grazing angle of 40°, (d) level 1 sea with a grazing angle of 20°, (e) level 2 sea with a grazing angle of 40°, and (f) level 2 sea with a grazing angle of 20°.
    Sea surface size (m2)Single GPU (s)Dual GPUs (s)Speedup ratio (%)
    400×400264.3133.5198
    800×8001179.6575.6205
    Table 1. Time consumptions at different sea scenes.
    ParametersValues
    Target size (m)118×18×14 (L×W×H)
    Sea size (m2)300×300
    Resolution ($ \Delta x{\mathrm{,}}\;\Delta y $) (m)(0.75, 0.75)
    PolarizationHH
    Grazing angles (°)40, 20
    Azimuth angle (°)0, 90
    Bandwidth $ \left(B\right) $ (GHz)9.9−10.1
    Number of frequency points400
    Rotation angle $ \left(\beta \right) $(°)5
    Number of azimuth angle points400
    Table 2. Basic parameters of radar imaging.
    Sea states (dB)Grazing angle of 40°Grazing angle of 20°
    Calm35.8422329.19082
    Level 126.8125325.28394
    Level 225.0822224.32826
    Table 3. Averaged PSNRs at different sea states.
    Cheng-Wei Zhang, Zhi-Qin Zhao, Wei Yang, Li-Lai Zhou, Hai-Yu Zhu. Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology[J]. Journal of Electronic Science and Technology, 2024, 22(2): 100257
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