Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology

Cheng-Wei Zhang , Zhi-Qin Zhao , Wei Yang , Li-Lai Zhou , Hai-Yu Zhu

Journal of Electronic Science and Technology ›› 2024, Vol. 22 ›› Issue (2) : 100257

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Journal of Electronic Science and Technology ›› 2024, Vol. 22 ›› Issue (2) : 100257 DOI: 10.1016/j.jnlest.2024.100257
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Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology

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Abstract

Aiming to solve the bottleneck problem of electromagnetic scattering simulation in the scenes of extremely large-scale seas and ships, a high-frequency method by using graphics processing unit (GPU) parallel acceleration technique is proposed. For the implementation of different electromagnetic methods of physical optics (PO), shooting and bouncing ray (SBR) and physical theory of diffraction (PTD), a parallel computing scheme based on the central processing unit (CPU)-GPU parallel computing scheme is realized to balance computing tasks. Finally, a multi-GPU framework is further proposed to solve the computational difficulty caused by the massive number of ray tubes in the ray tracing process. By using the established simulation platform, signals of ships at different seas are simulated and their images are achieved as well. It is shown that the higher sea states degrade the averaged peak signal-to-noise ratio (PSNR) of radar image.

Keywords

Multi graphics processing unit / Radar imaging / Sea-ship / Shooting and bouncing rays

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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. Journal of Electronic Science and Technology, 2024, 22(2): 100257 DOI:10.1016/j.jnlest.2024.100257

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Funding

This work was supported by the Opening Foundation of the Agile and Intelligence Computing Key Laboratory of Sichuan Province under Grant No. H23004; the Chengdu Municipal Science and Technology Bureau Technological Innovation R&D Project (Key Project) under Grant No. 2024-YF08-00106-GX.

Declaration of competing interest

The authors declare the following personal relationships which may be considered as competing interests: Li-Lai Zhou is currently employed by Tencent Company, Shenzhen, China. Other authors declare that there are no competing interests.

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