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

TL;DR

This paper presents a faster method for analyzing electromagnetic scattering from complex objects using compressive sensing to reduce computational time.

Contribution

A new excitation source solution model using compressive sensing in the Volume-Surface Integral Equation framework is proposed.

Findings

The proposed method reduces matrix equation recalculations while maintaining accuracy and memory usage.

Numerical simulations confirm the improved efficiency for analyzing wide-angle electromagnetic scattering.

The algorithm's effectiveness is validated across various composite objects with different materials and structures.

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.

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