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Double-layer geodesic and gradient-index lenses
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0001-9895-8935
Univ Exeter, Dept Phys & Astron, Stocker Rd, Exeter EX4 4QL, Devon, England..
European Space Agcy, Antenna & Sub Millimetre Waves Sect, NL-2200 AG Noordwijk, Netherlands..
Masaryk Univ, Fac Sci, Inst Theoret Phys & Astrophys, Kotlarska 2, Brno 61137, Czech Republic..
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2022 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 13, no 1, article id 2354Article in journal (Refereed) Published
Abstract [en]

A double-layer lens consists of a first gradient-index/geodesic profile in an upper waveguide, partially surrounded by a mirror that reflects the wave into a lower guide where there is a second profile. Here, we derive a new family of rotational-symmetric inhomogeneous index profiles and equivalent geodesic lens shapes by solving an inverse problem of pre-specified focal points. We find an equivalence where single-layer lenses have a different functionality as double-layer lenses with the same profiles. As an example, we propose, manufacture, and experimentally validate a practical implementation of a geodesic double-layer lens that is engineered for a low-profile antenna with a compact footprint in the millimeter wave band. Its unique double-layer configuration allows for two-dimensional beam scanning using the same footprint as an extension of the presented design. These lenses may find applications in future wireless communication systems and sensing instruments in microwave, sub-terahertz, and optical domains. A double-layer lens consists of a first gradient-index/geodesic profile in an upper waveguide, partially surrounded by a mirror that reflects the wave into a lower guide where there is a second profile. A family of such lens profiles are derived.

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 13, no 1, article id 2354
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
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URN: urn:nbn:se:kth:diva-312677DOI: 10.1038/s41467-022-29587-9ISI: 000789018200007PubMedID: 35487907Scopus ID: 2-s2.0-85129101660OAI: oai:DiVA.org:kth-312677DiVA, id: diva2:1660487
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QC 20220524

Available from: 2022-05-24 Created: 2022-05-24 Last updated: 2023-03-28Bibliographically approved

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Chen, QiaoQuevedo-Teruel, Oscar

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