Why this validation matters
Establish whether both radiator functions can coexist within one aperture while maintaining impedance match, isolation and intended pattern control.
Several different numerical or control assumptions can produce visually plausible plots. The validation must establish that the observed trend comes from the intended physical mechanism rather than mesh, solver, controller or boundary-condition artifacts.
First-pass physical and numerical checks
- Verify SIW via pitch, diameter and substrate permittivity against the intended guide band.
- Keep mesh and far-field normalization consistent between phase states.
- Distinguish port excitation phase from the actual radiated main-beam direction.
- Measurement cross-check: S11/S22 matching and cross-port coupling across each operating band.
- Measurement cross-check: Co- and cross-polarization patterns for the SIW and dipole modes.
Challenge the model under changed inputs
- Case 1: isolated SIW 2×2 array. Establish a reference case, change one physical assumption and compare the same metrics across runs.
- Case 2: isolated S-band dipole. Establish a reference case, change one physical assumption and compare the same metrics across runs.
- Case 3: combined shared aperture. Establish a reference case, change one physical assumption and compare the same metrics across runs.
Quantities to retain for audit
- Archive s11/s22 matching and cross-port coupling across each operating band with units, time window, data export format and configuration identifier.
- Archive co- and cross-polarization patterns for the siw and dipole modes with units, time window, data export format and configuration identifier.
- Archive realized gain, radiation efficiency and steering angle versus phase progression with units, time window, data export format and configuration identifier.
- Archive scan loss, sidelobe levels and isolation sensitivity to shared-aperture geometry with units, time window, data export format and configuration identifier.
What would invalidate a comparison
Strong dual-band return loss does not by itself establish good antenna coexistence; compare isolation, efficiency, beam steering and pattern distortion in both bands.
Do not use mismatched operating conditions or different normalization conventions to claim improved performance. Report the numerical tolerance or controller sampling time where it materially affects the result.
Reporting checklist
Record model fidelity and exclusions; name the data source for each parameter; label whether a result is simulated, measured or calculated from another quantity.
Validate repeatability before expanding parameter sweeps, and preserve a baseline output so later studies can be reproduced.
Related project watch pages
Watch the relevant simulation output first, then use this article as a technical review or experimental planning guide.
Engineering research support
For the underlying MATLAB/Simulink, COMSOL, ANSYS HFSS or power electronics model, verification of solver settings, and documented outputs, contact the MATLAB Projects Code research team. Articles describe engineering validation approaches and are not a substitute for measured validation data.
Contents are for representative purposes; actual content may vary.