2018•Unpublished venueRequires access

Bistatic Radar Cross Section Prediction of 3-D Target Based on GPU-FDTD Method

Hanyong Zhang, Lei Yuan, Haizeng Ye, Yuhan Gong

Abstract

The finite-difference time-domain (FDTD) algorithm is widely applied in analyzing electromagnetic scattering of targets. However, central processing unit (CPU) time restricts its application. In this paper, graphics processing unit (GPU) is utilized to accelerate the calculation of FDTD for the analysis of three-dimensional electromagnetic (EM) scattering problems. The parallel FDTD is verified by comparing numerical results to those obtained though sequential FDTD execution on CPU. A significant speedup of 30.6x is obtained on an NVIDIA GeForce GTX 570 GPU card. Also, Comparative results show a significant improvement in computation efficiency for GPU-Accelerated FDTD versus sequential FDTD.

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Key concepts: Finite-difference time-domain method, Graphics processing unit, Computer science, Computational science, Speedup, Radar cross-section, Central processing unit, CUDA