Quantitative Analysis of Confidence Interval for Electromagnetic Characteristics of Hypersonic Targets

Authors

  • Yupeng Zhu Institute of Systems Engineering Academy of Military Sciences, People’s Liberation Army of China, Beijing 100082, China
  • Dina Chen Nanjing University of Science and Technology Nanjing 210094, China
  • Huaguang Bao Nanjing University of Science and Technology Nanjing 210094, China
  • Min Han Institute of Systems Engineering Academy of Military Sciences, People’s Liberation Army of China, Beijing 100082, China

DOI:

https://doi.org/10.13052/2025.ACES.J.401001

Keywords:

Electromagnetic characteristics, hypersonic target, polynomial chaos expansion, uncertainty

Abstract

In response to the current lack of rapid and efficient techniques for uncertainty analysis in electromagnetic problems, this paper proposes an efficient uncertainty quantification method based on the finite-difference time-domain (FDTD) method. A conformal FDTD formulation integrated with polynomial chaos expansion (PCE) is comprehensively derived. For random input variables exhibiting Gaussian distribution characteristics, Hermite polynomial expansion and Galerkin testing are employed. Furthermore, by incorporating the Runge-Kutta time-stepping scheme, the method efficiently quantifies electromagnetic scattering characteristics considering stochastic variations in plasma electron density of hypersonic targets. Numerical experiments demonstrate that the proposed approach provides a reliable framework for uncertainty analysis in complex electromagnetic environments.

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Author Biographies

Yupeng Zhu, Institute of Systems Engineering Academy of Military Sciences, People’s Liberation Army of China, Beijing 100082, China

Yupeng Zhu received the B.S. degree from the Department of Electronic Science, National University of Defense Technology, Changsha, China, in 2003, and the Ph.D. degree in 2009. He is currently a Research Fellow with the Academy of Military Sciences. He has published over 20 papers. His current research interests include radar signal processing, electromagnetic scattering and intelligent sensing technologies.

Dina Chen, Nanjing University of Science and Technology Nanjing 210094, China

Dina Chen was born in Taizhou, Jiangsu, China. She received the B.S. degree from the Yancheng Institute of Technology, Yancheng, in 2022. She is currently pursuing the Ph.D. degree in the School of Microelectronics, Nanjing University of Science and Technology (NJUST), Nanjing. Her research interests include computational electromagnetics and microwave power component field-circuit coordination.

Huaguang Bao, Nanjing University of Science and Technology Nanjing 210094, China

Huaguang Bao received the B.S. and Ph.D. degrees in communication engineering from the School of Electrical Engineering and Optical Technique, Nanjing University of Science and Technology, Nanjing, China, in 2011 and 2017, respectively. From 2017 to 2019, he was a Postdoctoral Fellow in the Computational Electromagnetics and Antennas Research Laboratory, Department of Electrical Engineering, The Pennsylvania State University, USA. He is currently a Professor with the Department of Integrated Circuit Engineering, Nanjing University of Science and Technology. His research interests include semiconductor simulation, RF-integrated circuits, and computational electromagnetics.

Min Han, Institute of Systems Engineering Academy of Military Sciences, People’s Liberation Army of China, Beijing 100082, China

Min Han received the M.S. degree in information and communication engineering from the Nanjing University of Science and Technology, Nanjing, China, in 2013, and the Ph.D. degree in electromagnetic field and microwave engineering from Southeast University, Nanjing, in 2020. She is currently an Associate Researcher at the Academy of Military Sciences. Her research interests include electromagnetic scattering, millimeter wave circuits, and radar signal processing.

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Published

2025-10-30

How to Cite

[1]
Y. . Zhu, D. . Chen, H. . Bao, and M. . Han, “Quantitative Analysis of Confidence Interval for Electromagnetic Characteristics of Hypersonic Targets”, ACES Journal, vol. 40, no. 10, pp. 962–970, Oct. 2025.