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Uncertainty Quantification for the RCS of a Coated Target using an IBC-based Metamodel

Radar Cross Section (RCS) analysis involves computing a target's electromagnetic scattering using full wave numerical solvers. In this process, the main source of uncertainty is inherent to the input parameters such as the object's exact geometry and the material permittivity and permeability. This paper presents a cost-efficient method for uncertainty quantification applicable to the RCS computation of a coated target. A linear metamodel is developed, exploiting a description of the object using an Impedance Boundary Condition (IBC). The proposed approach is validated for a coated metallic cone sphere. The metamodel is then applied to uncertainty propagation, providing a semi-analytical evaluation of the output RCS statistics.