Fast FDTD/TDPO Hybrid Method Based on Spatiotemporal Sparse Sampling

Authors

  • Linxi Wang School of Information and Communications Engineering Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China
  • Juan Chen School of Information and Communications Engineering Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China

DOI:

https://doi.org/10.13052/2025.ACES.J.400302

Keywords:

Far-field, finite-difference time-domain, hybrid method, parabolic antenna, sparse sampling, time-domain physical optics

Abstract

Based on a hybrid method of finite-difference time-domain (FDTD) and time-domain physical optics (TDPO), this study employs a sparse sampling technique in near-to-far-field calculations to improve the efficiency of electrical large target computation. In the conventional hybrid method, the transformation from the near-field of the FDTD region to the far-field of the TDPO region involves the largest amount of computation, which can be reduced by applying the sparse sampling optimization method jointly in spatial and time domain. Compared to the conventional method, our proposed algorithm significantly reduces computation time while maintaining a negligible increase in error. Several examples are provided to demonstrate the accuracy and efficiency of our approach. In particular, a large parabolic antenna whose aperture size is 100 wavelengths is computed. The computation time is decreased by up to 91.52% of the conventional method while the maximum relative error is -21.56 dB. Compared with results of CST software, the method proposed in this work has smaller errors and excellent applicability.

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Author Biographies

Linxi Wang, School of Information and Communications Engineering Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China

Linxi Wang was born in Hubei, China, in 1993. She received the B.S. degree in engineering electronic science and technology from the Xi’an Liaotung University, Xi’an, China, in 2015 and the M.S. degree in microelectronics from the Xi’an Jiao University, Xi’an, China, in 2018. She is currently working toward the Ph.D. degree in electromagnetic field and microwave technology at the school of Information and Communications Engineering, Xi’an Liaotung University, Xi’an, China. Her current research interests include computational electromagnetics and antenna designs.

Juan Chen, School of Information and Communications Engineering Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China

Juan Chen was born in Chongqing, China. She received the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2008, in electromagnetic field and microwave technology. She is currently working in Xi’an Jiaotong University, Xi’an, China, as a professor. Her research interests include computational electromagnetics and microwave device design.

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Published

2025-03-30

How to Cite

[1]
L. . Wang and J. . Chen, “Fast FDTD/TDPO Hybrid Method Based on Spatiotemporal Sparse Sampling”, ACES Journal, vol. 40, no. 03, pp. 176–184, Mar. 2025.