Treffer: Analysis of Target Electromagnetic Scattering Characteristics Based on Accelerated SBR Algorithm.

Aiming at the inefficiency problem faced when analyzing the electromagnetic scattering characteristics of electrically large‐sized targets, this paper, based on the existing bounding volume hierarchy (BVH) tree accelerated data structure commonly used in the shooting and bouncing rays (SBR) method, improves the deeper hierarchical structure of the BVH tree and converts the tree structure into a kind of multibranch BVH tree using the surface area heuristic (SAH) optimal method, and the GPU acceleration of the SBR algorithm is achieved using C++ accelerated massive parallelism (C++AMP) to achieve higher computational efficiency. Each node of the multibranch BVH tree is compressed, which consumes significantly less memory compared to the BVH tree, and the shallower hierarchical structure of the multibranch BVH tree effectively reduces the number of accesses of the GPU to the node data in the memory during the node traversal process, which is extremely beneficial to the GPU that is highly sensitive to the memory traffic. By comparing with the multilevel fast multipole method (MLFMM) and the ray‐launching geometrical optics (RL‐GO) method in the commercial electromagnetic software FEKO, the numerical results show that the accelerated SBR algorithm can effectively improve the computational efficiency of the electromagnetic scattering characteristics of the electrically large‐sized targets under the premise of guaranteeing the accuracy of the results. [ABSTRACT FROM AUTHOR]

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