Fast Simulation of Electromagnetic Scattering for Radar-Absorbing Material-Coated 3D Electrically Large Targets
In this paper, a modified Shooting and Bouncing Ray (SBR) method based on high-order impedance boundary conditions (HOIBCs) is proposed to analyze the electromagnetic (EM) scattering from electrically large three-dimensional (3D) conducting targets coated with radar-absorbing material (RAM). In addition, the edge diffraction field of coated targets is included in the calculation to improve the accuracy of the calculation. Firstly, the SBR method based on the bidirectional tracing technique is presented. It is concluded that the calculation of the scattered field of the coated targets requires the determination of the reflection coefficients on the coated surface. The reflection coefficients of the coated targets are then derived using HOIBC theory. Finally, the equivalent edge current (EEC) of the impedance wedge is derived by integrating the UTD solutions for the impedance wedge diffraction with the impedance boundary conditions. The simulation results show that the proposed method improves computational efficiency compared to MLFMA while maintaining accuracy. Furthermore, the RCS characteristics of targets coated with different RAMs, different coating thicknesses and with different angles of incidence were compared, as well as the RCS results of coated targets with those of conventional perfect electrical conductor (PEC) targets.
Authors
- Lixin Guo (ORCID: https://orcid.org/0000-0003-3854-206X)
- Xiao Meng (ORCID: https://orcid.org/0000-0002-4410-2995)
- Chunlei Dong (ORCID: https://orcid.org/0000-0002-5815-7962)
- Dan Wang (ORCID: https://orcid.org/0000-0003-0563-8030)
- Hongzu Li (ORCID: https://orcid.org/0000-0002-2629-4137)
Institutions
- Xidian University (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-01-23
- DOI
- https://doi.org/10.3390/rs17030390
- Primary Topic
- Electromagnetic Scattering and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China