A Broadband Model-Based Parameter Estimation Method for Analyzing Multilayer Periodic Structures

Wang, Zhengzheng; Hum, Sean V.

doi:10.1109/tap.2021.3060908

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This interpolation method provides accurate computation of the scatterers' GSMs over a broad frequency band by performing the calculation only at a few random frequencies in the band. Patch-like scatterers can be simulated using MBPE by solving MoM with the [40]. To handle general cases including complementary scatterers, an extension on the existed MBPE method has been developed for magneticfield integral equation (MFIE)-based MoM.…”

Section: A Generation Of the Training Datamentioning

confidence: 99%

See 1 more Smart Citation

A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces

Naseri

Hum

2021

IEEE Trans. Antennas Propagat.

Self Cite

View full text Add to dashboard Cite

Electromagnetic metasurface design based on farfield constraints without the complete knowledge of the fields on both sides of the metasurface is typically a time consuming and iterative process, which relies heavily on heuristics and ad hoc methods. This paper proposes an end-to-end systematic and efficient approach where the designer inputs high-level farfield constraints such as nulls, sidelobe levels, and main beam level(s); and a 3-layer nonuniform passive, lossless, omega-type bianisotropic electromagnetic metasurface design to satisfy them is returned. The surface parameters to realize the far-field criteria are found using the alternating direction method of multipliers on a homogenized model derived from the method of moments. This model incorporates edge effects of the finite surface and mutual coupling in the inhomogenous impedance sheet. Optimization through the physical unit cell space integrated with machine learning-based surrogate models is used to realize the desired surface parameters from physical meta-atom (or unit cell) designs. Two passive lossless examples with different feeding systems and far-field constraints are shown to demonstrate the effectiveness of this method.

show abstract

Section: A Generation Of the Training Datamentioning

confidence: 99%

“…The GSM calculation for each primitive is accelerated using a model-based parameter estimation (MBPE) method for the periodic MoM [40]. This interpolation method provides accurate computation of the scatterers' GSMs over a broad frequency band by performing the calculation only at a few random frequencies in the band.…”

Section: A Generation Of the Training Datamentioning

confidence: 99%