2020
DOI: 10.36227/techrxiv.11768796
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Electromagnetic Inversion with Local Power Conservation for Metasurface Design

Abstract: <pre>A method based on electromagnetic inversion is extended to facilitate the design of passive, lossless, and reciprocal metasurfaces. More specifically, the inversion step is modified to ensure that the field transformation satisfies local power conservation, using available knowledge of the incident field. This paper formulates a novel cost functional to apply this additional constraint, and describes the optimization procedure used to find a solution that satisfies both the user-defined field specif… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(8 citation statements)
references
References 7 publications
0
8
0
Order By: Relevance
“…Since this method is based on solving an electromagnetic inverse source problem, we have referred to this approach as an electromagnetic inversion algorithm for metasurface design. Subsequently, in [102], we modified this inversion method by augmenting its associated cost functional to enforce local power conservation (LPC) [31,30] which ensures the resulting metasurfaces can be implemented using passive, lossless, and reciprocal elements.…”
Section: Cascaded Metasurface Design Prefacementioning
confidence: 99%
See 4 more Smart Citations
“…Since this method is based on solving an electromagnetic inverse source problem, we have referred to this approach as an electromagnetic inversion algorithm for metasurface design. Subsequently, in [102], we modified this inversion method by augmenting its associated cost functional to enforce local power conservation (LPC) [31,30] which ensures the resulting metasurfaces can be implemented using passive, lossless, and reciprocal elements.…”
Section: Cascaded Metasurface Design Prefacementioning
confidence: 99%
“…As will be discussed, these fields need to satisfy LPC for each individual metasurface to ensure that they can be fabricated using passive and lossless elements. It is worth noting that while in [102] we used a stochastic method (particle swarm) to enforce LPC in the inversion process, in this work we use gradient-based optimization for improved convergence and computational efficiency. Furthermore, we introduce regularization into the optimization process based on the L 2 -norm total variation (TV) regularizer commonly used for the inverse problem associated with microwave imaging [113,114].…”
Section: Cascaded Metasurface Design Prefacementioning
confidence: 99%
See 3 more Smart Citations