A three-dimensional GPU-FDTD method for EM wave scattering from randomly rough surface

Yang Zhang; Xiangqun Zhang; Genyuan Du; Kai Lu

doi:10.1117/12.3023498

28 March 2024 A three-dimensional GPU-FDTD method for EM wave scattering from randomly rough surface

Yang Zhang, Xiangqun Zhang, Genyuan Du, Kai Lu

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130912N (2024) https://doi.org/10.1117/12.3023498
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

A three-dimensional finite-difference time-domain (FDTD) approach for electromagnetic scattering from a randomly rough surface is developed. In order to save computing time, a graphics processing unit (GPU) based parallel computing framework is proposed to accelerate FDTD method. The parallel FDTD method assigns a thread for each Yee cell in the computing region for update calculation, and thus can achieve higher computational efficiency than the serial CPU algorithm. The parallel program is executed by a NVIDIA’s Quadro P5000 card. The FDTD model for calculation of EM wave scattering from rough surface is developed. VV polarization and HV polarization bistatic scattering coefficients are calculated.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Zhang, Xiangqun Zhang, Genyuan Du, and Kai Lu "A three-dimensional GPU-FDTD method for EM wave scattering from randomly rough surface", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130912N (28 March 2024); https://doi.org/10.1117/12.3023498

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