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<p>The rapid solution of RCS for moving targets is of great significance for the detection and identification of targets. This paper proposes an efficient shooting and bouncing rays (SBR) method for calculating the electromagnetic (EM) scattering of moving targets. The main idea is to reduce the number of tracked rays and avoid the splitting of the ray tubes by using dense rays instead of the ray tubes. The efficient ray-tracing kernel Embree is used to accelerate the intersection detection of rays and target geometry through the boundary volume hierarchy (BVH) tree. In addition, the CPU parallel acceleration technology is used to accelerate the solution of the RCS scattering field. The entire solution process is carried out on the CPU, avoiding the disadvantages of OptiX’s high dependence on NVIDIA’s GPU hardware and the complexity of CPU-GPU data transmission. Finally, time-frequency analysis technology is used in the analysis of scattering characteristics for moving targets. Meanwhile, combined with the high-resolution range profile (HRRP), it can reveal the frequency modulation characteristics in the target motion, providing important information for identification, classification, and motion parameter estimation of the targets.</p>

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Efficient calculation and analysis of dynamic RCS characteristics for moving target using the shooting and bouncing rays method

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月25日

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  • Wenxing Wu,
  • Jinzu Ji,
  • Ke Chen,
  • Guoxu Chen,
  • Shunli Sun,
  • Zhikai Guo,
  • Yunpeng Ma

摘要

The rapid solution of RCS for moving targets is of great significance for the detection and identification of targets. This paper proposes an efficient shooting and bouncing rays (SBR) method for calculating the electromagnetic (EM) scattering of moving targets. The main idea is to reduce the number of tracked rays and avoid the splitting of the ray tubes by using dense rays instead of the ray tubes. The efficient ray-tracing kernel Embree is used to accelerate the intersection detection of rays and target geometry through the boundary volume hierarchy (BVH) tree. In addition, the CPU parallel acceleration technology is used to accelerate the solution of the RCS scattering field. The entire solution process is carried out on the CPU, avoiding the disadvantages of OptiX’s high dependence on NVIDIA’s GPU hardware and the complexity of CPU-GPU data transmission. Finally, time-frequency analysis technology is used in the analysis of scattering characteristics for moving targets. Meanwhile, combined with the high-resolution range profile (HRRP), it can reveal the frequency modulation characteristics in the target motion, providing important information for identification, classification, and motion parameter estimation of the targets.