Genetically Designed Wire Bundle Superscatterers

Experimental demonstration of superdirectivity and superscattering phenomena is among the long-standing challenges in electromagnetic theory. Efficient computational algorithms can contribute to this endeavor by suggesting new designs bypassing commonly accepted limitations. Here, we demonstrate a r...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2022-10, Vol.70 (10), p.9621-9629
Main Authors: Grotov, Konstantin, Vovchuk, Dmytro, Kosulnikov, Sergei, Gorbenko, Ilya, Shaposhnikov, Leon, Ladutenko, Konstantin, Belov, Pavel, Ginzburg, Pavel
Format: Article
Language:English
Subjects:
Algorithms
Dipoles
Electromagnetic scattering
Electromagnetics
Genetic algorithm
Geometry
Multipoles
Optimization
Physics
Radar targets
Scattering
scattering limit
Statistics
superscattering
Wire
wire bundle
Wireless communications
Wires
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Experimental demonstration of superdirectivity and superscattering phenomena is among the long-standing challenges in electromagnetic theory. Efficient computational algorithms can contribute to this endeavor by suggesting new designs bypassing commonly accepted limitations. Here, we demonstrate a rectangular wire bundle superscatterer designed using a stochastic optimization algorithm. The structure encompassing wires of different lengths demonstrates superior scattering capabilities, bypassing the single channel dipole limit by an order of magnitude. The subwavelength wire bundle supports several resonant higher-order multipoles, which constructively contribute to the scattering, as we demonstrate experimentally. A new generation of genetically designed superscatterers may be used in a range of wireless applications, including point-to-point communications, smart beacons, and radar targets.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2022.3177531