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An FDTD-Based Parallel Virtual Tool for RCS Calculations of Complex Targets

机译:基于FDTD的并行虚拟工具,用于复杂目标的RCS计算

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摘要

A novel, accelerated, and parallelized Finite-Difference Time-Domain (FDTD) based radar cross section (RCS) prediction tool, MGL-FastRCS, is introduced. MGL-FastRCS has been parallelized with OpenMP and Compute Unified Device Architecture (CUDA) for high-performance computing with multiple cores and graphics processing units (GPUs). Characteristic examples using realistic complex air and surface targets are presented. The virtual tool automatically constructs a discrete wire-grid model of the structure under investigation. It is therefore also possible to compare the FDTD results against Method-of-Moments (MoM) data.
机译:介绍了一种新颖的,加速且并行化的基于有限时域(FDTD)的雷达截面(RCS)预测工具MGL-FastRCS。 MGL-FastRCS已与OpenMP和Compute Unified Device Architecture(CUDA)并行化,可通过多个内核和图形处理单元(GPU)进行高性能计算。给出了使用实际复杂的空中和地面目标的特征示例。该虚拟工具会自动构造所研究结构的离散线栅模型。因此,也可以将FDTD结果与矩量法(MoM)数据进行比较。

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