电大涂覆目标SBR算法与MPI并行加速技术

      SBR Algorithm for Electrically Large Coated Targets and MPI Parallel Acceleration Technology

      • 摘要: 为满足涂覆雷达吸波材料的复杂目标电磁散射快速计算需求,本文提出了一种基于弹跳射线(shooting and bouncing rays, SBR)的高效计算方法。该方法利用广义传播矩阵法理论推导了金属衬底多层介质的反射系数,并将其与弹跳射线法耦合,精确计算了多层介质涂覆目标的雷达散射截面;为进一步提高计算效率,采用基于CPU平台的MPI并行加速技术,实现了SBR算法的高效并行。数值结果表明,所计算的二面角反射器模型与舰船模型雷达散射截面结果与商业软件FEKO结果之间吻合良好,其中二面角反射器的均方根误差小于3dBsm。此外,针对电大涂覆飞行器目标,各计算进程的并行效率均达到80%以上。该方法有效解决了电大涂覆目标电磁散射计算的精度和速度,为电大复杂目标隐身性能的评估计算提供了高效的解决方案。

         

        Abstract: In this paper, an efficient Shooting and Bouncing Rays (SBR) based computational method is proposed to address the rapid electromagnetic scattering computation of electrically large targets coated with radar-absorbing material. Using the Generalized Propagation Matrix method, the reflection coefficient of multi-layer dielectrics with a metallic substrate is derived, which is subsequently coupled with the Shooting and Bouncing Rays method to accurately calculate the radar cross section of complex targets coated with multi-layer dielectric materials. To further improve computational efficiency, MPI parallel acceleration technology based on CPU platforms is employed to reduce computation time, resulting in high parallel efficiency for the SBR method. Numerical results show that the calculated RCS of the dihedral corner reflector and ship models agree well with FEKO results, with the reflector's RMSE below 3 dBsm. Additionally, for electrically large coated aircraft targets, the parallel efficiency exceeds 80%, demonstrating the method's accuracy and efficiency.This method effectively solves the accuracy and speed issues in the electromagnetic scattering computation of coated large-scale targets, providing an efficient solution for the stealth performance evaluation of complex large-scale targets.

         

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