研究目的
Investigating the impact of surface roughness on the radar cross-section (RCS) of simple canonical objects in the terahertz (THz) regime.
研究成果
Surface roughness significantly impacts the RCS in the THz regime, with notable differences observed between smooth and rough surfaces. The study highlights the importance of considering surface roughness in EM scattering analysis for accurate RCS prediction.
研究不足
The study is limited to simple canonical objects and may not fully represent the complexity of real-world scenarios. The assumption of Gaussian height pdf for surface roughness might not cover all possible surface variations.
1:Experimental Design and Method Selection:
The study employs the shooting and bouncing rays (SBR) method for EM computation, incorporating random Gaussian rough surfaces generated based on statistics theory.
2:Sample Selection and Data Sources:
Simple canonical objects like plates and dihedrals with varying surface roughness are used.
3:List of Experimental Equipment and Materials:
CAD models and random Gaussian rough surfaces are superposed for EM computation.
4:Experimental Procedures and Operational Workflow:
The SBR method involves ray tracing, field tracking, and aperture integration to compute RCS. ISAR images are generated via filtered back projection (FBP) method.
5:Data Analysis Methods:
The EM scattering characteristics are analyzed to observe differences between smooth and rough surfaces.
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