An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence

M Meng Kong X Xin Yuan Cao Q Qi Qi (State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences) X Xian Liang Wu

Abstract

Abstract The accurate modeling of electromagnetic scattering from composite conducting-dielectric objects under multi-angle incidence is crucial in the field of electromagnetic engineering, however, due to the huge computational resources required, there is a disadvantage of slow analysis speed on personal computer platforms. Based on the compressive sensing theory, this article constructs a new excitation source solution model using the Volume-Surface Integral Equation platform. The special CS technique is separately applied to the conductive surface and dielectric region of the composite object, respectively, in order to improve the efficiency of analyzing the wide-angle electromagnetic scattering characteristics of the composite object. Compared with the traditional Volume-Surface Integral Equation method, the proposed method can significantly reduce the number of repeated calculations of matrix equations while maintaining the same level of accuracy and memory consumption, so as to accelerate the overall calculation of the wide-angle electromagnetic scattering. By the complexity analysis of the proposed algorithm and the numerical simulation of various composite objects with different materials and structures, the efficiency of the proposed algorithm is verified.

Article Details

Volume / Issue Vol. 15, Issue 1
Published July 23, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

M

Meng Kong

X

Xin Yuan Cao

Q

Qi Qi

State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences

X

Xian Liang Wu