Electromagnetics openEMS FDTD Radar Open Source

Radar Cross Section
Simulations with openEMS

Spatial backscatter attribution for arbitrary geometries — mapping which geometric features actually dominate radar observability using open-source FDTD field simulation.

Key Finding

Engine cavities — not leading edges or wing tips — are the dominant backscatter contributors in the simulated UAV geometry. The most visually prominent features are not always the most radar-significant ones.

Full-Wave FDTD

openEMS-based simulation captures all scattering mechanisms: resonances, cavity effects, diffraction, and surface currents — no physical optics approximations.

Spatial Attribution

Directional Poynting vector accumulation produces hot-spot maps showing which geometric features contribute most to backscatter, without full ISAR reconstruction.

Open Source

All simulation scripts, geometry files, and analysis tools are freely available. No commercial EM solver license required.

Capability Maturity Model

RCS simulation capability spans maturity levels from intuition-based reasoning (L0) through closed-loop computational optimization (L5). This project demonstrates L1: spatial backscatter attribution with canonical validation.

RCS Simulation Capability Tech Tree showing maturity levels L0 through L5
RCS simulation capability maturity model. Current work sits at L1 — spatial backscatter attribution via directional Poynting vector accumulation, validated against a canonical hollow aluminum sphere. View full size ↗

RCS as a Spatial Distribution

Radar cross section is not a scalar value — it varies with aspect angle, frequency, polarization, and target orientation. Treating it as a single number collapses the spatial information needed to understand which features dominate.

Polar diagram showing RCS vs observation angle
Illustrative RCS polar plot. Backscatter intensity varies substantially with aspect angle — a fact that scalar RCS metrics obscure.