journal article·2025-07-22Open access

Research on the Composite Scattering Characteristics of a Rough-Surfaced Vehicle over Stratified Media

Chenzhao Yan, Xincheng Ren, Jianyu Huang, Yuqing Wang, Xiaomin Zhu

Applied Sciences· Volume 15· Issue 15

Abstract

To meet the requirements for radar echo acquisition and feature extraction from stratified media and rough-surfaced targets, a vehicle was geometrically modelled in CAD. Monte Carlo techniques were applied to generate the rough interfaces at air–snow and snow–soil boundaries and over the vehicle surface. Soil complex permittivity was characterized with a four-component mixture model, while snow permittivity was described using a mixed-media dielectric model. The composite electromagnetic scattering from a rough-surfaced vehicle on snow-covered soil was then analyzed with the finite-difference time-domain (FDTD) method. Parametric studies examined how incident angle and frequency, vehicle orientation, vehicle surface root mean square (RMS) height, snow liquid water content and depth, and soil moisture influence the composite scattering coefficient. Results indicate that the coefficient oscillates with scattering angle, producing specular reflection lobes; it increases monotonically with larger incident angles, higher frequencies, greater vehicle RMS roughness, and higher snow liquid water content. By contrast, its dependence on snow thickness, vehicle orientation, and soil moisture is complex and shows no clear trend.
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Research context

OpenAlex topics: Soil Moisture and Remote Sensing · Precipitation Measurement and Analysis · Electromagnetic Scattering and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Physics and Electronic Information, Yan’an University, Yan’an 716000, China

Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data, Yan’an 716000, China

Funding

National Natural Science Foundation of China

References (30)

Show source-provided references
1. Advanced electromagnetic scattering computation techniques for complex terrain-target scenarios in radar detection
2. Post-collapse mine rescue using ultra-wide band radar: Electromagnetic-wave attenuation mechanisms and key influencing factors in coal, rock, and stratified composite media10.1016/j.psep.2025.107114 ↗
3. Electromagnetic scattering from composite rough surface-target models: A comprehensive analysis for modern radar applications
4. Enhanced target recognition algorithms for military radar systems using complex scattering characteristics
5. Feature extraction techniques from composite electromagnetic scattering for high-precision military target identification
6. Adão, F., Pádua, L., and Sousa, J.J. (2025). Evaluating soil degradation in agricultural soil with ground-penetrating radar: A systematic review of applications and challenges. Agriculture, 15.10.3390/agriculture15080852 ↗
7. Exploring radar data representations in autonomous driving: A comprehensive review10.1109/TITS.2025.3554781 ↗
8. 2-D EM Scattering and Inverse Scattering from Inhomogeneous Objects Straddling Multiple Subsurface Planar Layers with a Rough Surface
9. Numerical Study of Electromagnetic Waves with Sources, Observer, and Scattering Objects in Motion10.1109/TMTT.2023.3338549 ↗
10. 2-D Electromagnetic Scattering from Multiple Arbitrarily Anisotropic Inhomogeneities Embedded in Multilayered Biaxially Anisotropic Elliptical Cylinders Solved by the Hybrid SIM/SEM10.1109/TAP.2024.3420431 ↗
11. Electromagnetic FWI of 2-D Inhomogeneous Objects Straddling Multiple Planar Layers by Finite-Element Boundary Integral and Levenberg–Marquardt Methods
12. Electromagnetic Propagation Characteristics of Submarine Cable Detection with Finite Element Analysis
13. An Efficient Goal-Oriented Adaptive Finite Element Method for Accurate Simulation of Complex Electromagnetic Radiation Problems10.1109/TAP.2023.3283040 ↗
14. Chiu, C.-C., Chien, W., Yu, K.-X., Chen, P.-H., and Lim, E.H. (2023). Electromagnetic Imaging for Buried Conductors Using Deep Convolutional Neural Networks. Appl. Sci., 13.10.3390/app13116794 ↗
15. Electromagnetic scattering by rough surfaces with large heights and slopes with applications to microwave remote sensing of rough surface over layered media10.2528/PIER09071413 ↗
16. Sketchpad: A Man-Machine Graphical Communication System10.1177/003754976400200514 ↗
17. Tornincasa, S., and Di Monaco, F. (2010, January 11–18). The Future and Evolution of CAD. Proceedings of the 14th International Research/Expert Conference: Trends in the Development of Machinery and Associated Technology, Mediterranean Cruise.
18. The diffusion of innovation across professional domains: Barriers and facilitators
19. Technological convergence and its impact on professional fields: A systematic analysis
20. Applications of artificial intelligence across multiple professional domains: A comprehensive review
21. (2024, October 14). Autodesk: DXF Reference [OL]. Available online: https://help.autodesk.com/view/OARX/2021/ENU/?guid=GUID-235B22E0-A567-4CF6-92D3-38A2306D73F3.
22. Monte Carlo simulation of electromagnetic scattering from two-dimensional random rough surfaces10.1109/8.560342 ↗
23. Time-Domain Finite-Difference Method Research on Composite Electromagnetic Scattering from Snow-Covered Rough Surface with Rectangular Cross-Section Column Above
24. On the laboratory calibration of dielectric permittivity models for agricultural soils: Effect of systematic porosity variation10.1002/vzj2.20096 ↗
25. Improvement in modeling soil dielectric properties during freeze-thaw transitions
26. An empirical model for the complex dielectric permittivity of soils as a function of water content10.1109/TGRS.1980.350304 ↗
27. Measurement of evaporation from bare soil and its estimation using surface resistance10.1029/96WR00268 ↗
28. Comparison of soil dielectric mixing models for soil moisture retrieval using SMAP brightness temperature over croplands in India10.1016/j.jhydrol.2021.126673 ↗
29. Ge, D., and Yan, Y. (2011). Electromagnetic Wave Finite-Difference Time-Domain Method, Xi’an Electronic Science and Technology University Press. [3rd ed.].
30. Li, L., Peng, G., and Ren, X.-C. (2024, January 23–26). Study on the Characteristics of Composite Electromagnetic Scattering from Actual Terrain Surfaces with Multiple Targets. Proceedings of the 2024 14th International Symposium on Antennas, Propagation and EM Theory (ISAPE), Hefei, China.10.1109/ISAPE62431.2024.10840627 ↗