3D imaging from multipath temporal echoes

Turpin, A. , Kapitany, V., Radford, J. , Rovelli, D., Mitchell, K., Lyons, A. , Starshynov, I. and Faccio, D. (2021) 3D imaging from multipath temporal echoes. Physical Review Letters, 126(17), 174301. (doi: 10.1103/PhysRevLett.126.174301)

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Echo location is a broad approach to imaging and sensing that includes both manmade RADAR, LIDAR, SONAR, and also animal navigation. However, full 3D information based on echo location requires some form of scanning of the scene in order to provide the spatial location of the echo origin-points. Without this spatial information, imaging objects in three-dimensional (3D) is a very challenging task as the inverse retrieval problem is strongly ill-posed. Here, we show that the temporal information encoded in the return echoes that are reflected multiple times within a scene is sufficient to faithfully render an image in 3D. Numerical modeling and an information theoretic perspective prove the concept and provide insight into the role of the multipath information. We experimentally demonstrate the concept by using both radio frequency and acoustic waves for imaging individuals moving in a closed environment.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Kapitany, Mr Valentin and Faccio, Professor Daniele and Starshynov, Mr Ilya and Mitchell, Mr Kevin and Radford, Jack and Lyons, Dr Ashley and Turpin, Dr Alejandro
Authors: Turpin, A., Kapitany, V., Radford, J., Rovelli, D., Mitchell, K., Lyons, A., Starshynov, I., and Faccio, D.
College/School:College of Science and Engineering > School of Computing Science
College of Science and Engineering > School of Physics and Astronomy
Journal Name:Physical Review Letters
Publisher:American Physical Society
ISSN (Online):1079-7114
Copyright Holders:Copyright © 2021 American Physical Society
First Published:First published in Physical Review Letters 126(17):174301
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Related URLs:
Data DOI:10.5525/gla.researchdata.1102

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305153RAEng Chair Emerging TechnologiesDaniele FaccioRoyal Academy of Engineering (RAE)CiET1819/20P&S - Physics & Astronomy
305567QuantIC - The UK Quantum Technoogy Hub in Quantum Enhanced ImagingMiles PadgettEngineering and Physical Sciences Research Council (EPSRC)EP/T00097X/1P&S - Physics & Astronomy