Engineering Spatial Dispersion to Synthesize Arbitrary Spatial Filters Based on Metagratings
Jinyong Kim, Minseok Kim
TL;DR
This paper addresses the need for angularly selective spatial filters beyond fixed-incidence designs. It proposes a design framework that leverages non-uniform metagratings and engineering of the fundamental Floquet mode's spatial dispersion to synthesize prescribed angular transfer functions. The core method combines an impedance-matrix representation of mutual coupling with capacitive loading as design variables, optimized with PSO and gradient refinement to realize targeted reflection/transmission profiles across a broad incidence range. Full-wave validation at $f = 3.5\\mathrm{GHz}$ demonstrates low-pass, high-pass, and all-pass spatial filters achievable with only two sparse layers, matching analytical predictions and confirming the practical viability for compact spatial filters in communications and sensing.
Abstract
This paper presents a design framework for synthesizing angularly selective spatial filters using non-uniform metagratings. While traditional metagratings focus on channeling energy into higher-order Floquet modes for a fixed incidence angle, we leverage the fundamental mode as a versatile degree of freedom to engineer spatial dispersion over a continuous angular spectrum. By strategically distributing non-uniformly loaded metallic wires and rigorously modeling their mutual interactions through an impedance-matrix formulation, we realize prescribed angular transfer functions with high efficiency. In particular, the framework is validated at 3.5 GHz through full-wave simulations of (i) low-pass, (ii) high-pass, and (iii) all-pass spatial filters. The results demonstrate that fundamental-mode engineering in non-uniform metagratins offers a highly efficient platform for advanced spatial wave manipulation.
