2025 International Applied Computational Electromagnetics Society Symposium (ACES-China)(2025)
School of Information and Communication
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摘要
Radar cross section (RCS) computation of dynamic targets plays a crucial role in target recognition and battlefield awareness. However, traditional high-frequency methods are primarily designed for static targets and struggle to capture the real-time impact of attitude changes on scattering characteristics, with limited capabilities in result visualization. To address these challenges, this paper proposes a dynamic scattering modeling approach based on the Graphic Electromagnetic Computing (GRECO) framework. The proposed method integrates GPU rendering with off-screen framebuffer techniques to extract surface geometry and normal information in real time. Furthermore, ray tracing based on the Shooting and Bouncing Ray (SBR) method is employed to construct multiple scattering paths. A hybrid Geometrical Optics-Physical Optics (GO-PO) algorithm is then used to compute the RCS contributions from multiple scattering events in complex targets. Dynamic simulation results demonstrate that the method effectively handles dynamic scattering in complex multi-target scenarios. Within an elevation angle range of 60°-100°, the average absolute error reaches 4.59%, providing a viable technical solution for dynamic RCS analysis involving multiple targets.