Deep Wavefront Shaping: Intelligent Control of Complex Scattering Responses with a Programmable Metasurface

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dc.contributor.authorFrazier, Benjamin
dc.contributor.authorAntonsen, Thomas
dc.contributor.authorAnlage, Steven
dc.contributor.authorOtt, Edward
dc.date.accessioned2021-06-14T11:15:53Z
dc.date.available2021-06-14T11:15:53Z
dc.date.issued2021
dc.descriptionSupporting dataen_US
dc.description.abstractElectromagnetic environments are becoming increasingly complex and congested, creating a growing challenge for systems that rely on electromagnetic waves for communication, sensing, or imaging. The use of intelligent, reconfigurable metasurfaces provides a potential means for achieving a radio environment that is capable of directing propagating waves to optimize wireless channels on-demand, ensuring reliable operation and protecting sensitive electronic components. Here we introduce ``deep wavefront shaping'', a technique that combines a deep learning network with a binary programmable metasurface to shape waves in complex electromagnetic environments and to drive the system towards a desired scattering response. We applied this technique for wavefront reconstruction, and accurately determined metasurface configurations based on measured system scattering responses in a chaotic microwave cavity. The state of the metasurface that realizes desired electromagnetic wave field distribution properties was successfully determined even in cases previously unseen by the deep learning algorithm. Our work represents an important step towards realizing intelligent reconfigurable metasurfaces for smart radio environments that can ensure both the integrity of electronic systems and optimum performance of wireless networks.en_US
dc.description.sponsorshipFunding for this work was provided through AFOSR COE Grant FA9550-15-1-0171 and ONR Grant N000141912481.en_US
dc.identifierhttps://doi.org/10.13016/lqos-6auz
dc.identifier.citationFrazier et al. 2021, arXiv:2103:13500en_US
dc.identifier.urihttp://hdl.handle.net/1903/27156
dc.language.isoen_USen_US
dc.publisherarXiven_US
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtElectrical & Computer Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectMetasurface, Deep Learning, Wavefront Control, Wavefront Shaping, Chaotic Cavityen_US
dc.titleDeep Wavefront Shaping: Intelligent Control of Complex Scattering Responses with a Programmable Metasurfaceen_US
dc.typeWorking Paperen_US

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